Investment Rating - The report maintains an investment rating of "A" for the coal sector, indicating expected performance leading the market [1]. Core Insights - The coal import volume has shown a slowing trend of contraction, with a cumulative decrease of 13% from January to July 2025. Despite a continuous negative growth rate for five months, July saw a year-on-year decrease of 22.94% but a month-on-month increase of 7.78% [1][3]. - The overall import price for coal types averaged $67 per ton, continuing a downward trend year-on-year, with a month-on-month decrease of $6.23 in July [1]. - Domestic coal production has contracted both year-on-year and month-on-month, leading to an increase in import demand due to a domestic supply gap [3]. Summary by Sections Import Data Analysis - The report highlights that all coal types have shown negative year-on-year growth, with only anthracite coal experiencing a month-on-month decline. The increase in coking coal imports is primarily from Mongolia and Russia, while thermal coal imports are mainly from Australia, and lignite imports are from Indonesia [1][3]. Price Trends - The report notes that the import prices for all coal types have significantly decreased compared to the previous year, with July showing a downward trend across all categories [1]. Future Outlook - The report suggests that while there is an increase in import volume, the prices have not risen correspondingly, indicating a potential imbalance in the overseas supply-demand structure. The future demand for coal remains uncertain due to domestic economic conditions and the impact of the "anti-involution" campaign [3]. Investment Recommendations - The report recommends focusing on coal stocks that are expected to recover in performance due to rising coal prices, highlighting companies such as Huayang Co., Jinkong Coal Industry, and Shanxi Coking Coal as key investment targets [2][3].

Group 1: Electricity Generation - April electricity generation remained stable year-on-year [1] - Total installed capacity exceeds 17 million kilowatts [2] Group 2: Electricity Pricing - April settlement electricity price showed little change month-on-month, slightly higher than mid-to-long-term prices [2] - Anticipated consumption situation for the 800,000 kW photovoltaic base in Xinjiang is favorable as it is a priority external power source project [2] Group 3: Coal Pricing - Long-term coal price is determined by a base price plus a floating pricing mechanism [2] - Coal prices have seen a larger year-on-year decline entering Q2 compared to Q1 [2] - Coal costs significantly impact the performance of the company's controlled power generation enterprises, with price declines positively influencing performance [2] - Expected coal consumption for Anhui units this year is projected to remain stable [2] Group 4: Financial Situation - Investment income from associated companies is under pressure due to a decline in both electricity volume and pricing [2]

Quantitative Models and Construction 1. Model Name: Coal Industry Profit Forecast Model - **Model Construction Idea**: The model estimates the revenue and profit growth rate of the coal industry based on changes in price and capacity factors[10] - **Model Construction Process**: - The pricing mechanism is determined by the long-term contract system, where the sales price for the next month is based on the last price index of the current month[10] - The model uses the year-on-year changes in price and capacity factors to estimate monthly revenue and profit growth rates[10] - **Model Evaluation**: The model provides a systematic approach to track and predict industry profitability, but it relies heavily on the stability of the pricing mechanism and external factors like market demand[10][14] 2. Model Name: Hog Supply-Demand Gap Estimation Model - **Model Construction Idea**: The model predicts the hog supply-demand gap six months ahead based on the breeding sow inventory and historical slaughter coefficients[15] - **Model Construction Process**: - The slaughter coefficient is calculated as: $ \text{Slaughter Coefficient} = \frac{\text{Quarterly Hog Slaughter}}{\text{Breeding Sow Inventory (Lagged 6 Months)}} $[15] - The potential supply six months later is estimated as: $ \text{Potential Supply (t+6)} = \text{Breeding Sow Inventory (t)} \times \text{Slaughter Coefficient (t+6, YoY)} $[15] - The potential demand six months later is estimated as: $ \text{Potential Demand (t+6)} = \text{Hog Slaughter (t+6, YoY)} $[16] - **Model Evaluation**: Historical data shows that this model effectively identifies hog price upward cycles, making it a valuable tool for supply-demand analysis[16] 3. Model Name: Steel Industry Profit Forecast Model - **Model Construction Idea**: The model predicts monthly profit growth and per-ton profit for the steel industry by integrating steel prices and raw material costs[18] - **Model Construction Process**: - The model incorporates comprehensive steel prices and costs of raw materials such as iron ore, coke, pulverized coal, and scrap steel to estimate profit growth rates[18] - **Model Evaluation**: The model provides a detailed profit analysis but is sensitive to fluctuations in raw material prices and global demand[22] 4. Model Name: Glass and Cement Industry Profitability Tracking Model - **Model Construction Idea**: The model tracks profitability changes in the glass and cement industries using price and cost indicators[23] - **Model Construction Process**: - The model monitors price and cost indicators to assess profitability changes and generate allocation signals[23] - **Model Evaluation**: The model is effective in identifying short-term profitability trends but requires additional macroeconomic indicators for long-term predictions[30] 5. Model Name: Refining and Oilfield Services Profitability Model - **Model Construction Idea**: The model estimates profit growth and cracking spreads for the refining industry based on changes in fuel prices, crude oil prices, and new drilling activities[31] - **Model Construction Process**: - The model calculates profit growth rates and cracking spreads using variations in fuel and crude oil prices[31] - Allocation signals are designed based on oil prices, cracking spreads, and new drilling activity[31] - **Model Evaluation**: The model provides a comprehensive view of industry profitability but is highly dependent on volatile oil price movements[35] --- Backtesting Results of Models 1. Coal Industry Profit Forecast Model - **Profit Growth Forecast**: Predicted a year-on-year profit decline for June 2025 due to lower coal prices compared to the previous year[14] 2. Hog Supply-Demand Gap Estimation Model - **Supply-Demand Balance**: Predicted a balanced supply-demand scenario for Q4 2025, with potential supply and demand both estimated at 18,226 million hogs[17] 3. Steel Industry Profit Forecast Model - **Profit Growth Forecast**: Predicted a slight year-on-year profit decline for May 2025, with PMI rolling averages remaining flat[22] 4. Glass and Cement Industry Profitability Tracking Model - **Glass Industry**: Predicted a year-on-year decline in gross profit for May 2025[30] - **Cement Industry**: Predicted a year-on-year profit growth for May 2025, driven by price recovery[30] 5. Refining and Oilfield Services Profitability Model - **Refining Industry**: Predicted a year-on-year profit decline for May 2025 due to lower oil prices compared to the previous year[35] - **Oilfield Services**: Observed stable new drilling activity and lower oil prices compared to the previous year, maintaining a neutral outlook[38]

Core Viewpoint - In Q1 2025, the company reported a revenue of 26.577 billion yuan, a year-on-year decrease of 14.14%, while net profit attributable to shareholders increased by 3.66% to 1.930 billion yuan, indicating a mixed performance amid a challenging market environment [1][3]. Revenue and Profit Analysis - The company's Q1 2025 revenue decreased due to a relaxed supply-demand balance in electricity and a slight drop in electricity prices, with total electricity generation falling by 8.51% year-on-year to 51.384 billion kWh [1][2]. - The average on-grid electricity price in Q1 2025 was approximately 505.71 yuan per megawatt-hour, down 0.71% year-on-year, influenced by nationwide price adjustments [2]. Cost and Profitability - The company achieved a gross profit margin of 10.73% and a net profit margin of 8.52%, both showing year-on-year increases of 2.33 and 1.21 percentage points, respectively [3]. - Operating costs decreased by 16.32% year-on-year, primarily due to falling coal prices, which positively impacted profitability [3]. Cash Flow and Asset Management - The net cash flow from operating activities increased by 107.47% year-on-year, attributed to reduced fuel costs [4]. - A proposed acquisition of stakes in several companies is expected to enhance total assets by 18.37%, revenue by 25.07%, and net profit by 5.93%, significantly improving the company's asset scale and profitability [4]. Profit Forecast and Valuation - The company is projected to achieve net profits of 6.6 billion, 7.6 billion, and 8.5 billion yuan for 2025, 2026, and 2027, respectively, with year-on-year growth rates of 15.91%, 14.89%, and 11.80% [4]. - The price-to-earnings ratio for the stock is estimated to be 8.84, 7.69, and 6.88 for the years 2025, 2026, and 2027, respectively, indicating a strong investment opportunity [4].