Investment Rating - The report maintains an "Accumulate" rating for the coal mining industry, indicating a positive outlook for the sector in the near term [6]. Core Insights - Significant decrease in port coal inventories and sustained increase in thermal coal prices during the peak season. The average closing price of thermal coal at Qinhuangdao Port (5500 kcal weekly average) increased by 9 CNY/ton (+1.36%) this week, marking six consecutive weeks of upward movement. Port coal inventory at Qinhuangdao is now at 5.22 million tons, down 10.77% week-on-week, returning to normal levels for this time of year, suggesting a tightening supply-demand situation [1][2]. - The coal supply-demand structure is expected to continue improving due to policies aimed at reducing overproduction, which may support further price increases for port coal [1]. Summary by Sections Price Trends - The average closing price of thermal coal at Qinhuangdao Port is 658 CNY/ton, up 9 CNY/ton (+1.36%) week-on-week. The average price of mixed thermal coal in Yulin, Shaanxi (5800 kcal) is 510 CNY/ton, up 23 CNY/ton (+4.72%) [2]. Inventory Levels - As of August 1, coal inventory at Qinhuangdao Port is 5.22 million tons, down 10.77% week-on-week, and up 1.36% year-on-year. The inventory at the Bohai Rim ports is 24.73 million tons, down 8.22% week-on-week, and up 0.64% year-on-year [4]. Production and Utilization Rates - The operating rate of 110 sample coal washing plants is 61.5%, down 0.8 percentage points week-on-week and down 5.1 percentage points year-on-year, remaining at a five-year low. The capacity utilization rate of 247 blast furnaces is 90.24%, down 0.57 percentage points week-on-week, but up 1.37 percentage points year-on-year [3]. Investment Recommendations - The report suggests that recent policies aimed at reducing overproduction and the peak season for coal may lead to significant improvements in coal price expectations. It recommends stocks such as China Shenhua, China Coal Energy, and Shaanxi Coal and Chemical Industry, with a particular focus on coking coal stocks like Lu'an Mining and Shanxi Coking Coal [4].

Employment Data Summary - In July 2025, the U.S. non-farm payrolls increased by 73,000, significantly below the expected 110,000, and the previous value was revised down from 147,000 to 14,000[1][11]. - The unemployment rate in July 2025 was 4.2%, matching expectations but up from the previous 4.1%[1][14]. - Average hourly earnings rose by 3.9% year-on-year, exceeding the expected 3.8% and revised from a previous increase of 3.7%[1][14]. Data Revision Insights - The June non-farm payrolls were revised down by a total of 258,000, with significant downward adjustments in government, leisure, and construction sectors, accounting for 90,000 of the total revision[2][12]. - The downward revision reflects the impact of tariffs on the U.S. economy, indicating a decline in the accuracy of the "birth-death model" used for employment predictions[2][5]. Sector Performance - In July, the financial activities, education, and healthcare sectors added 15,000, 79,000, and 16,000 jobs respectively, showing stability in service sector demand[3][27]. - The goods-producing sector continued to show negative job growth for three consecutive months, indicating weak production intentions among businesses[3][28]. Labor Market Dynamics - The labor force participation rate fell to 62.2% in July, down from 62.3% in June, with a notable decline in employment willingness among younger demographics[4][35]. - The number of unemployed individuals increased by 221,000 in July, contributing to the rise in the U3 unemployment rate to 4.2%[4][35]. Economic Outlook - The Federal Reserve is expected to initiate rate cuts, with market predictions indicating three rate cuts in 2025, starting in September with an 83.4% probability[5][26]. - The overall economic environment remains challenging, with the second quarter GDP growth at 3.0%, driven by a "import rush" effect, but core GDP growth showing signs of decline[5][23].

1. Report Industry Investment Rating - Not provided in the content 2. Core Viewpoints of the Report - From July 28 to August 1, 2025, the secondary - market prices of China's listed public REITs showed an overall upward trend, with a weighted REITs index return of 2.2%. Compared with other mainstream asset classes, REITs ranked second in terms of return [1][11]. - This week, two new REITs were listed, and the status of two first - offering projects was updated [4]. 3. Summary According to the Directory 3.1 Secondary Market 3.1.1 Price Trends - **At the major asset level**: The secondary - market prices of listed public REITs in China showed an upward trend. The weighted REITs index closed at 143.13 with a return of 2.2%. The return ranking from high to low was: crude oil > REITs > gold > pure bonds > convertible bonds > A - shares > US stocks [1][11]. - **At the underlying asset level**: Both property - right and franchise - right REITs showed a fluctuating upward trend, with property - right REITs having a larger increase. Among the underlying asset types, consumer - related REITs had the largest increase, and the top three in terms of return were consumer - related, municipal facilities, and water conservancy facilities [16][18]. - **At the single - REIT level**: After excluding the newly listed REITs this week, 57 REITs rose and 12 fell. The top three in terms of increase were China Merchants Shekou Industrial Zone REIT, Industrial and Commercial Bank of Inner Mongolia Energy Clean Energy REIT, and China Resources Commercial REIT [22]. 3.1.2 Trading Volume and Turnover Rate - **At the underlying asset level**: The total trading volume of public REITs this week was 3.61 billion yuan. Warehouse logistics REITs led in terms of daily average turnover rate. The top three in terms of trading volume were park infrastructure, warehouse logistics, and transportation infrastructure; the top three in terms of daily average turnover rate were warehouse logistics, park infrastructure, and energy infrastructure [26]. - **At the single - REIT level**: The trading volume and turnover rate of single REITs continued to show differentiation. The top three in terms of trading volume were Bank of China Sinotrans Warehouse Logistics REIT, CICC Jinhua Agricultural REIT, and Huaxia Huadian Clean Energy REIT; the top three in terms of trading amount were CICC Jinhua Agricultural REIT, Bank of China Sinotrans Warehouse Logistics REIT, and Huaxia Huadian Clean Energy REIT; the top three in terms of turnover rate were Bank of China Sinotrans Warehouse Logistics REIT, Huaxia Huadian Clean Energy REIT, and CICC Jinhua Agricultural REIT [27]. 3.1.3 Main Capital Inflow and Block Trading - **Main capital inflow situation**: The total main capital inflow this week was 30.86 million yuan, and the market trading enthusiasm decreased. The underlying asset types with positive main capital inflow were energy infrastructure and warehouse logistics. The top three REITs in terms of main capital inflow were Huaxia Huadian Clean Energy REIT, Bank of China Sinotrans Warehouse Logistics REIT, and Penghua Shenzhen Energy REIT [31]. - **Block trading situation**: The total block trading amount this week reached 205.55 million yuan, an increase compared with last week. There were block trading transactions on five trading days this week, and the highest single - day block trading amount was on August 1, 2025. The top three REITs in terms of block trading amount were CICC Jinhua Agricultural REIT, CITIC Construction Investment Mingyang Smart New Energy REIT, and Industrial and Commercial Bank of Hebei Expressway REIT [32]. 3.2 Primary Market 3.2.1 Listed Projects - As of August 1, 2025, the number of public REITs products in China reached 71, with a total issuance scale of 183.952 billion yuan. Transportation infrastructure had the largest issuance scale, followed by park infrastructure [36]. - This week, Bank of China Sinotrans Warehouse Logistics REIT was listed on July 29, 2025, with an asset type of warehouse logistics and an issuance scale of 1.311 billion yuan; Huaxia Huadian Clean Energy REIT was listed on August 1, 2025, with an asset type of energy infrastructure and an issuance scale of 1.895 billion yuan [36]. 3.2.2 Pending - Listing Projects - According to the project announcements of the Shanghai and Shenzhen Stock Exchanges, there were 24 REITs in the pending - listing state, including 13 first - offering REITs and 11 REITs pending expansion [40]. - This week, the status of the first - offering project of "China International Capital Corporation Vipshop Outlets Closed - end Infrastructure Securities Investment Fund" was updated to "approved", and the status of the first - offering project of "China Aerospace Hong Consumer Closed - end Infrastructure Securities Investment Fund" was updated to "accepted" [41].

Quantitative Models and Construction Methods 1. Model Name: PB-ROE-50 Strategy - **Model Construction Idea**: The core idea is to identify expectation gaps in the market and enhance portfolio returns by incorporating surprise expectation factors (e.g., SUE, ROE YoY growth) [31] - **Model Construction Process**: - Based on the PB-ROE pricing model derived by Wilcox (1984), stocks with significant expectation gaps are selected to form a pool - From this pool, 50 stocks are selected using factors such as standardized unexpected earnings (SUE) and ROE YoY growth to construct the PB-ROE-50 portfolio [31] - **Model Evaluation**: The strategy achieved positive excess returns across different stock pools, demonstrating its effectiveness in capturing market expectation gaps [31] 2. Model Name: Institutional Research Strategy - **Model Construction Idea**: This strategy leverages public and private institutional research data to extract alpha by analyzing the frequency of company visits and stock performance relative to benchmarks before the visits [39] - **Model Construction Process**: - Public Research Selection: Stocks are selected based on the number of visits by public institutions and their relative performance to the CSI 800 index - Private Research Tracking: Stocks are selected based on the number of visits by well-known private institutions and their relative performance to the CSI 800 index [39] - **Model Evaluation**: Both public and private research strategies generated significant positive excess returns, indicating the value of institutional research data in stock selection [39] --- Model Backtesting Results 1. PB-ROE-50 Strategy - **Excess Return (YTD)**: - CSI 500: 3.62% - CSI 800: 9.73% - All Market: 10.36% [35] - **Excess Return (Last Month)**: - CSI 500: 0.59% - CSI 800: 2.91% - All Market: 2.34% [35] - **Absolute Return (YTD)**: - CSI 500: 12.68% - CSI 800: 15.10% - All Market: 20.07% [35] - **Absolute Return (Last Month)**: - CSI 500: 5.88% - CSI 800: 7.02% - All Market: 6.77% [35] 2. Institutional Research Strategy - **Excess Return (YTD)**: - Public Research: 7.03% - Private Research: 18.00% [42] - **Excess Return (Last Month)**: - Public Research: 3.66% - Private Research: 5.58% [42] - **Absolute Return (YTD)**: - Public Research: 12.26% - Private Research: 23.77% [42] - **Absolute Return (Last Month)**: - Public Research: 7.80% - Private Research: 9.80% [42] --- Quantitative Factors and Construction Methods 1. Factor Name: Percentage of Advancing Stocks (Market Sentiment Indicator) - **Factor Construction Idea**: Strong-performing stocks often exhibit a demonstration effect, and the percentage of advancing stocks can reflect market sentiment. A higher percentage indicates optimism, while an overly high percentage may signal overheating [12] - **Factor Construction Process**: - Formula: $ \text{Percentage of Advancing Stocks (N days)} = \frac{\text{Number of CSI 300 stocks with positive returns over N days}}{\text{Total number of CSI 300 stocks}} $ - The indicator is smoothed using two moving averages (N1 = 50, N2 = 35). When the short-term average (fast line) exceeds the long-term average (slow line), it signals a bullish market sentiment [12][13][15] - **Factor Evaluation**: The indicator effectively captures upward opportunities but struggles to avoid risks in declining markets. It may also miss gains during prolonged market exuberance [12] 2. Factor Name: Moving Average Sentiment Indicator - **Factor Construction Idea**: This factor uses an eight-moving-average system to assess the trend state of the CSI 300 index. By assigning values to different ranges of the moving average, the relationship between indicator states and index trends becomes clearer [20] - **Factor Construction Process**: - Calculate the eight moving averages of the CSI 300 closing price (parameters: 8, 13, 21, 34, 55, 89, 144, 233) - Assign values based on the range of the moving averages: - Range 1/2/3: -1 - Range 4/5/6: 0 - Range 7/8/9: 1 - A bullish signal is generated when the number of moving averages below the current price exceeds 5 [20][26] - **Factor Evaluation**: The indicator provides a clear relationship between sentiment states and index trends, aiding in market timing [20] 3. Factor Name: Leverage Ratios (Debt Indicators) - **Factor Construction Idea**: High leverage ratios indicate greater debt pressure and liquidity risks. Three calculation methods (traditional, strict, and relaxed) are used to assess leverage comprehensively [44] - **Factor Construction Process**: - Traditional Leverage Ratio: $ \text{Traditional Leverage Ratio} = \frac{\text{Short-term Debt + Long-term Debt + Bonds Payable}}{\text{Total Assets}} $ - Strict Leverage Ratio: $ \text{Strict Leverage Ratio} = \frac{\text{Short-term Debt + Interest Payable + Financial Liabilities + Short-term Bonds + Lease Liabilities + Long-term Debt + Bonds Payable + Long-term Payables}}{\text{Total Assets}} $ - Relaxed Leverage Ratio: $ \text{Relaxed Leverage Ratio} = \frac{\text{Strict Leverage Components + Other Current Liabilities + Liabilities Held for Sale + Non-current Liabilities Due Within One Year}}{\text{Total Assets}} $ [44] - **Factor Evaluation**: The relaxed leverage ratio provides more opportunities for short positions compared to traditional metrics [44] 4. Factor Name: Financial Cost Burden Ratio - **Factor Construction Idea**: This factor measures the pressure of interest payments on companies by isolating interest expenses from financial costs, providing a clearer view of financial burdens [48] - **Factor Construction Process**: - Formula: $ \text{Financial Cost Burden Ratio} = \frac{\text{Interest Expenses}}{\text{EBIT}} $ [48] - **Factor Evaluation**: The factor effectively highlights companies with high financial stress, aiding in risk identification [48] --- Factor Backtesting Results 1. Percentage of Advancing Stocks - **Latest Value**: Above 70% as of July 31, 2025, indicating high market sentiment [12] 2. Moving Average Sentiment Indicator - **Latest State**: CSI 300 index is in a sentiment boom zone as of July 31, 2025 [20] 3. Leverage Ratios - **Top Stocks by Relaxed Leverage Ratio**: - Example: Dizhiyiyao-U (64.10%), Shenzhouxibao (64.06%), Zhongyida (59.68%) [45] 4. Financial Cost Burden Ratio - **Top Stocks by Financial Cost Burden**: - Example: Liaoning Chengda (241084.42), Yinbaoshanxin (2314.41), Ashichuang (69.43) [49]

Quantitative Factors and Models Summary Quantitative Factors and Construction - **Factor Name**: Beta Factor **Construction Idea**: Measures the sensitivity of a stock's returns to market returns **Performance**: Achieved a positive return of 0.73% in the full market stock pool during the week of 2025.07.28-2025.08.01[20] - **Factor Name**: Residual Volatility Factor **Construction Idea**: Captures the idiosyncratic risk of a stock **Performance**: Delivered a positive return of 0.60% in the full market stock pool during the same period[20] - **Factor Name**: Scale Factor **Construction Idea**: Represents the size effect, where smaller-cap stocks tend to outperform **Performance**: Recorded a negative return of -0.51% in the full market stock pool[20] - **Factor Name**: Nonlinear Market Cap Factor **Construction Idea**: A nonlinear transformation of market capitalization to capture size-related anomalies **Performance**: Yielded a negative return of -0.40% in the full market stock pool[20] - **Factor Name**: Total Asset Gross Profit Margin (TTM) **Construction Idea**: Measures profitability relative to total assets over the trailing twelve months **Performance**: - 2.64% in the CSI 300 stock pool[12] - 1.39% in the CSI 500 stock pool[14] - 1.35% in the Liquidity 1500 stock pool[18] - **Factor Name**: Single-Quarter Total Asset Gross Profit Margin **Construction Idea**: Measures profitability relative to total assets for a single quarter **Performance**: - 2.37% in the CSI 300 stock pool[12] - 1.27% in the Liquidity 1500 stock pool[18] - 1.39% in the CSI 500 stock pool[14] - **Factor Name**: Single-Quarter ROA **Construction Idea**: Measures return on assets for a single quarter **Performance**: - 2.28% in the CSI 300 stock pool[12] - 0.42% in the CSI 500 stock pool[15] - 0.20% in the Liquidity 1500 stock pool[19] Quantitative Models and Construction - **Model Name**: PB-ROE-50 Combination **Construction Idea**: Combines Price-to-Book (PB) and Return on Equity (ROE) metrics to select stocks with high profitability and reasonable valuation **Construction Process**: - Stocks are ranked based on PB and ROE metrics - Top 50 stocks are selected to form the portfolio **Performance**: - 0.62% excess return in the CSI 500 stock pool[25][26] - 2.14% excess return in the CSI 800 stock pool[25][26] - 0.76% excess return in the full market stock pool[25][26] - **Model Name**: Block Trade Combination **Construction Idea**: Utilizes "high transaction volume, low volatility" principles to identify stocks with favorable post-trade performance **Construction Process**: - Stocks are filtered based on block trade transaction volume and 6-day transaction volatility - Monthly rebalancing is applied **Performance**: - 0.75% excess return relative to the CSI All Share Index[32][33] - **Model Name**: Private Placement Combination **Construction Idea**: Focuses on stocks involved in private placements, considering market cap, rebalancing cycles, and position control **Construction Process**: - Stocks are selected based on private placement event announcements - Portfolio is adjusted periodically **Performance**: - 1.55% excess return relative to the CSI All Share Index[38][39] Factor Backtest Results - **Beta Factor**: Weekly return of 0.73%[20] - **Residual Volatility Factor**: Weekly return of 0.60%[20] - **Scale Factor**: Weekly return of -0.51%[20] - **Nonlinear Market Cap Factor**: Weekly return of -0.40%[20] - **Total Asset Gross Profit Margin (TTM)**: - CSI 300: 2.64%[12] - CSI 500: 1.39%[14] - Liquidity 1500: 1.35%[18] - **Single-Quarter Total Asset Gross Profit Margin**: - CSI 300: 2.37%[12] - CSI 500: 1.39%[14] - Liquidity 1500: 1.27%[18] - **Single-Quarter ROA**: - CSI 300: 2.28%[12] - CSI 500: 0.42%[15] - Liquidity 1500: 0.20%[19] Model Backtest Results - **PB-ROE-50 Combination**: - CSI 500: 0.62% weekly excess return[25][26] - CSI 800: 2.14% weekly excess return[25][26] - Full Market: 0.76% weekly excess return[25][26] - **Block Trade Combination**: 0.75% weekly excess return relative to CSI All Share Index[32][33] - **Private Placement Combination**: 1.55% weekly excess return relative to CSI All Share Index[38][39]

Quantitative Models and Construction Methods Model Name: New Stock Issuance Model - **Construction Idea**: The model aims to track the performance of newly issued stocks in various market segments, including the main board, ChiNext, and STAR Market[1][12][22]. - **Construction Process**: - Collect data on the number of new stocks issued, the amount of funds raised, and the first-day price performance. - Calculate the average first-day price increase for each market segment. - Formula: $ \text{Single Account Stock Return} = \min(\text{Account Size}, \text{Subscription Limit}) \times \text{Winning Rate} \times \text{Return Rate} $ $ \text{A/B/C Class Investors Full Return} = \text{Subscription Limit} \times \text{A/B/C Class Offline Winning Rate} \times \text{Return Rate} $ - Parameters: - Winning Rate: Actual winning rate of offline new stock issuance. - Return Rate: For new stocks listed on the STAR Market and ChiNext, and under the comprehensive registration system on the main board, the return rate is the first-day average transaction price relative to the issue price. For non-registration system main board stocks, the return rate is the average transaction price on the opening day relative to the issue price[40][41][42]. - **Evaluation**: The model provides a comprehensive view of the performance of new stock issuances across different market segments, helping investors understand the potential returns from participating in new stock offerings[1][12][22]. Model Backtesting Results New Stock Issuance Model - **Main Board**: - A Class: Monthly return rate 0.159%, cumulative return 1.000%[41][42][47] - C Class: Monthly return rate 0.141%, cumulative return 0.908%[41][42][47] - **ChiNext**: - A Class: Monthly return rate 0.035%, cumulative return 1.128%[41][45][47] - C Class: Monthly return rate 0.034%, cumulative return 0.989%[41][45][47] - **STAR Market**: - A Class: Monthly return rate 0.064%, cumulative return 0.547%[41][46][47] - C Class: Monthly return rate 0.063%, cumulative return 0.527%[41][46][47] Quantitative Factors and Construction Methods Factor Name: New Stock Performance Factor - **Construction Idea**: This factor aims to measure the performance of new stocks on their first day of trading, providing insights into the potential returns from participating in new stock offerings[1][12][22]. - **Construction Process**: - Collect data on the first-day price performance of new stocks. - Calculate the average first-day price increase for each market segment. - Formula: $ \text{First-Day Price Increase} = \frac{\text{First-Day Closing Price} - \text{Issue Price}}{\text{Issue Price}} \times 100\% $ - Parameters: - First-Day Closing Price: The closing price of the stock on its first day of trading. - Issue Price: The price at which the stock was issued[1][12][22]. - **Evaluation**: This factor provides a clear measure of the initial performance of new stocks, helping investors gauge the potential returns from participating in new stock offerings[1][12][22]. Factor Backtesting Results New Stock Performance Factor - **Main Board**: - Average first-day price increase: 276.29%[22][23] - **ChiNext**: - Average first-day price increase: 356.00%[22][23] - **STAR Market**: - Average first-day price increase: 174.56%[22][23] Fund Product Performance Fund Product Performance in New Stock Offerings - **Construction Idea**: Measure the participation and success rate of fund products in new stock offerings, and calculate their estimated returns based on their participation and winning rates[57][58][59]. - **Construction Process**: - Collect data on the participation and winning rates of fund products in new stock offerings. - Calculate the estimated returns based on the latest fund quarterly report. - Formula: $ \text{Participation Rate} = \frac{\text{Number of New Stocks Quoted}}{\text{Total Number of New Stocks Issued}} $ $ \text{Winning Rate} = \frac{\text{Number of Valid Quotes}}{\text{Number of New Stocks Quoted}} $ - Parameters: - Participation Rate: The rate at which the fund product participates in new stock offerings. - Winning Rate: The rate at which the fund product's quotes are accepted[57][58][59]. - **Evaluation**: This method provides a detailed view of the performance of fund products in new stock offerings, helping investors understand the potential returns from participating in new stock offerings through fund products[57][58][59]. Fund Product Backtesting Results Fund Product Performance - **Top Performing Funds**: - Middle European Shanghai-Shenzhen 300 Index A: Estimated return rate 0.337%[57][58][59] - ICBC Quality Selection A: Estimated return rate 0.33%[57][58][59] - Huatai-PineBridge Innovation Power: Estimated return rate 0.33%[57][58][59] Institutional Performance Institutional Performance in New Stock Offerings - **Construction Idea**: Measure the participation and success rate of institutions in new stock offerings, and calculate their estimated returns based on their participation and winning rates[60][61][62]. - **Construction Process**: - Collect data on the participation and winning rates of institutions in new stock offerings. - Calculate the estimated returns based on the latest institutional quarterly report. - Formula: $ \text{Participation Rate} = \frac{\text{Number of New Stocks Quoted}}{\text{Total Number of New Stocks Issued}} $ $ \text{Winning Rate} = \frac{\text{Number of Valid Quotes}}{\text{Number of New Stocks Quoted}} $ - Parameters: - Participation Rate: The rate at which the institution participates in new stock offerings. - Winning Rate: The rate at which the institution's quotes are accepted[60][61][62]. - **Evaluation**: This method provides a detailed view of the performance of institutions in new stock offerings, helping investors understand the potential returns from participating in new stock offerings through institutional products[60][61][62]. Institutional Backtesting Results Institutional Performance - **Top Performing Institutions**: - GF Fund: Estimated return rate 1.74 billion[60][61][62] - China Asset Management: Estimated return rate 1.51 billion[60][61][62] - E Fund Management: Estimated return rate 1.33 billion[60][61][62]

Investment Rating - The report maintains a "Buy" rating for the company [1] Core Views - The company's FY3Q25 revenue and profit exceeded expectations, driven by strong performance in iPhone, Mac, and services, marking the strongest quarterly revenue growth since FY1Q22 [1][5] - The guidance for FY4Q25 indicates mid-to-high single-digit year-over-year revenue growth, surpassing market expectations, despite anticipated tariff-related cost increases [5][10] - The company continues to face pressure from tariffs and potential regulatory risks, particularly concerning its agreement with Google [10] Revenue Performance - FY3Q25 revenue reached $94.04 billion, a 10% year-over-year increase, exceeding Bloomberg consensus estimates of $89.3 billion [1][6] - The iPhone segment generated $44.58 billion in revenue, a 13% year-over-year increase, significantly above expectations [6] - The Mac business saw revenue growth of 14.8% year-over-year, reaching $8.05 billion, driven by new product launches [7] Profitability Metrics - The gross margin for FY3Q25 was 46.5%, at the upper end of the previous guidance range, with net profit of $23.43 billion, reflecting a 9.3% year-over-year increase [1][5] - The company reported a basic EPS of $1.57, exceeding the consensus estimate of $1.43 [1] Segment Analysis - The services segment achieved revenue of $27.42 billion, a 13.3% year-over-year increase, maintaining a high gross margin of 75.6% [9] - Wearable devices and other products generated $7.4 billion in revenue, down 8.6% year-over-year, falling short of market expectations [8] - iPad revenue declined to $6.58 billion, an 8.1% year-over-year decrease, indicating weak demand [7] Future Outlook - The company expects to maintain a gross margin between 46% and 47% in the upcoming quarter, despite the anticipated $1.1 billion in tariff-related costs [5] - The report projects GAAP net profits for FY2025-2027 to be $110.4 billion, $112.8 billion, and $116.9 billion respectively, reflecting significant upward revisions [11][12]

Investment Rating - The report maintains a "Buy" rating for the company [5] Core Insights - The company is actively progressing with its share buyback program, which is expected to enhance shareholder value and reduce registered capital [2] - Sales rankings have improved, with the company achieving sales amounts of CNY 2,193.0 billion and CNY 350.7 billion for 2024 and Q1 2025 respectively, placing it 5th in the China real estate sales ranking [2] - The company has successfully reduced its financing costs, with a comprehensive funding cost of 2.99% as of the end of 2024, maintaining an industry-leading level [3] Summary by Sections Share Buyback Progress - As of July 31, 2025, the company has repurchased 44,804,006 shares, accounting for 0.494% of its total share capital, with a total expenditure of approximately CNY 430.27 million [1][2] Sales Performance - The company ranked 4th in the China real estate sales ranking for the first seven months of 2025, with a total sales amount of approximately CNY 1,045.2 billion, showing a narrowing decline of 10.5% year-on-year [2] - The monthly sales in July 2025 were approximately CNY 156.3 billion, reflecting a year-on-year decline of only 1.5%, indicating a potential recovery in sales performance [2] Financing Cost Reduction - The company issued CNY 800 million of 3-year fixed-rate bonds at a coupon rate of 1.70%, with a subscription multiple of 4.5625 times, demonstrating strong market confidence in its financial strategy [3] - The report projects an increase in net profit for 2025 and 2026 to CNY 45.1 billion and CNY 48.1 billion respectively, up from previous estimates of CNY 42.1 billion and CNY 44.7 billion [3]

Group 1: Report Industry Investment Rating - No relevant content provided Group 2: Core Viewpoints of the Report - From January to August 1, 2025, the CSI Convertible Bond Index rose by +10.3%, and the CSI All-Share Index rose by +8.6%. The convertible bond market outperformed the equity market. After five consecutive weeks of gains, the convertible bonds adjusted slightly this week. Fundamental trends and anti-involution policies are important influencing factors for the current convertible bond market. Investors can continue to focus on convertible bonds in areas such as boosting domestic demand and anti-involution [1][4] Group 3: Summary by Related Catalogs 1. Market Conditions - From July 28 to August 1, 2025, the CSI Convertible Bond Index fell by -1.4% (last week's increase was +2.1%), and the CSI All-Share Index changed by -1.1% (last week's increase was +2.2%). Since the beginning of 2025, the CSI Convertible Bond Index has risen by +10.3%, and the CSI All-Share Index has risen by +8.6%. The convertible bond market outperformed the equity market [1] - By rating, high-rated bonds (AA+ and above), medium-rated bonds (AA), and low-rated bonds (AA- and below) fell by -2.03%, -0.29%, and -0.93% respectively this week, with high-rated bonds having the largest decline. By convertible bond scale, large-scale convertible bonds (bond balance greater than 5 billion yuan), medium-scale convertible bonds (balance between 500 million and 5 billion yuan), and small-scale convertible bonds (balance less than 500 million yuan) fell by -1.66%, -0.85%, and -0.83% respectively this week, with large-scale convertible bonds having the largest decline. By parity, ultra-high parity bonds (conversion value greater than 130 yuan) rose slightly by +0.38% this week, while other types of parity bonds had varying degrees of decline [2] - By industry, the top 30 convertible bonds in terms of gains mainly came from machinery and equipment (6), pharmaceutical biology (4), and electronics (4); the top 30 convertible bonds in terms of losses mainly came from chemicals (5), non-ferrous metals (4), etc. [2] 2. Convertible Bond Price, Parity, and Conversion Premium Rate - As of August 1, 2025, there were 463 outstanding convertible bonds (468 at the close of last week), with a balance of 636.614 billion yuan (637.942 billion yuan at the close of last week) [3] - The average convertible bond price was 127.7 yuan (128.87 yuan last week), with a quantile of 97.7%; the average convertible bond parity was 100.65 yuan (101.20 yuan last week), with a quantile of 89.3%; the average convertible bond conversion premium rate was 27.4% (27.3% last week), with a quantile of 55.4%. Among them, the conversion premium rate of medium-parity convertible bonds (conversion value between 90 and 110 yuan) was 27.6% (29.0% last week), higher than the median conversion premium rate of medium-parity convertible bonds since 2018 (20.0%) [3] 3. Convertible Bond Performance and Allocation Direction - This week, the CSI Convertible Bond Index fell by -1.4%. After five consecutive weeks of gains, the convertible bonds adjusted slightly this week; the CSI All-Share Index changed by -1.1%. Since the beginning of 2025, the CSI Convertible Bond Index has risen by +10.3%, and the CSI All-Share Index has risen by +8.6%. The convertible bond market outperformed the equity market. Looking ahead, fundamental trends and anti-involution policies are still important influencing factors for the current convertible bond market. Investors can continue to focus on convertible bonds in areas such as boosting domestic demand and anti-involution [4] 4. Convertible Bond Increase Situation - The top 15 convertible bonds in terms of gains this week included Qizheng Convertible Bond, Bo 25 Convertible Bond, Dongjie Convertible Bond, etc. For example, Qizheng Convertible Bond had a convertible bond increase of 45.60% and an underlying stock increase of 39.99% [24]

2025 年 8 月 1 日 公司研究 亚马逊 25Q3 营收指引超预期，AWS 营业利润率承压 ——亚马逊（AMZN.O）2025 年二季报业绩点评 25Q2 电商部门营业利润率回升，关税影响尚不确定。除 AWS 外其他业务中， 北美地区营业利润 75.2 亿美元，营业利润率 5.5%；国际营业利润 14.9 亿美 元，营业利润率 4.1%，北美和国际营业利润率同比环比回升，主要驱动因素 为物流履约费用率下降。根据 25Q2 电话会，当前难以确定关税成本如何在供 应商、亚马逊和消费者之间分摊，但不同地区的利润率都在逐季度稳步改善。 要点 事件：美国东部时间 7 月 31 日盘后，亚马逊发布 25Q2 业绩公告。截至北京 时间 8 月 1 日 8:00，亚马逊盘后股价下跌 7%。 25Q2 营收与盈利超预期，25Q3 营收指引超预期，营业利润指引低于预期。 25Q2 亚马逊净销售额 1677 亿美元，同比增长 13.3%（前值 8.6%），高于 Refinitiv 一致预期（下文简称一致预期）3.47%；营业利润 191.7 亿美元，高 于指引上限 9.5%，高于一致预期 14.3%；营业利润率 11.4%， ...