Datang International Power Generation Co., Ltd.
601991 · SSE · China
dtpower.comFinancials as of FY2025
Generates electricity from coal, hydro, wind, and solar plants across China and sells it to the national grid.
- Depends onDownstream position: depends on 5 industries, supplies 3
- ScaleRevenue is higher than 95% of all stocks globally
- FinancialsAltman Z-Score: distress zone
- Interpretations2 currently firing — 1 · 1
What this company is and how it runs — written from structure, not news.
Datang International Power Generation takes coal, hydro, wind, and solar resources and converts them into electricity that flows into China's national grid, but the entire chain from fuel to power line runs through administrative allocations rather than market purchases. Coal comes from Datang's own mining subsidiaries in Shanxi and Inner Mongolia, railway slots to move that coal are granted annually to Datang as a state entity by China Railway Corporation, and State Grid Corporation's regional operators then decide which plants actually run — so revenue only appears once all three of those administrative steps have delivered in sequence. Because those allocations flow through Datang's membership in the state-owned enterprise group, a private competitor cannot simply buy its way into the same position, but the arrangement cuts both ways: if Datang's affiliated mines are halted by an accident, an environmental shutdown, or a Beijing quota cut, the fuel supply breaks at the first link and no spot-market purchase can fill the gap before the annual rail and dispatch cycle has already moved on.
How does this company make money?
Provincial price bureaus set the tariff Datang receives for each unit of electricity it delivers, calculated as the cost of production plus an approved profit margin. On top of that, Datang collects separate capacity payments for keeping its thermal plants ready to run during periods of peak demand. Both payments only arrive after the fuel has been mined, moved by rail, and the plant has been told by the grid operator to generate.
What makes this company hard to replace?
Grid interconnection agreements with State Grid Corporation take years of regulatory approvals to transfer or replace, so no one can quickly reassign capacity to a different generator. Municipal heating networks that rely on Datang's combined heat and power supply cannot switch providers mid-heating season without losing heat entirely. Coal transport contracts with China Railway Corporation are set annually and cannot be handed to another generator partway through the year.
What limits this company?
Every year, China Railway Corporation decides how many train slots Datang gets to move coal from the northern mines to southern plants. That number cannot be increased mid-year no matter how much money is available. When passenger trains or other freight take priority on the same tracks, less coal arrives, and the plants generate less electricity — even if the mines have coal ready to ship.
What does this company depend on?
The company cannot run without thermal coal from its affiliated mines in Shanxi and Inner Mongolia, water allocation permits for cooling systems at its thermal plants, grid interconnection approvals from State Grid Corporation, foreign currency access to import natural gas and renewable energy equipment, and land use rights from local governments for its wind and solar sites.
Who depends on this company?
State Grid Corporation's regional subsidiaries rely on Datang's output; if it stopped delivering, those subsidiaries would have to call on more expensive backup plants to fill the gap. Industrial manufacturers in the provinces Datang serves would face production cutbacks when supply runs short. Municipal heating networks in northern cities depend on Datang's combined heat and power plants; losing that supply during winter would cut off heating for those cities.
How does this company scale?
Adding more generation capacity is relatively straightforward — new plants use the same standard turbine and boiler designs with predictable costs, and the model can be repeated across many sites. But growth hits the same ceiling every time: domestic coal mine allocation quotas and China Railway Corporation transport slots cannot be expanded just by spending more money, so fuel delivery stays the binding limit no matter how many plants are built.
What external forces can significantly affect this company?
Beijing's carbon neutrality goals set timelines for retiring coal plants that can override normal dispatch decisions, forcing shutdowns that have nothing to do with whether the plant is profitable. Drought conditions in the Yangtze River basin can restrict the cooling water that thermal plants need to operate. U.S. technology export restrictions limit Datang's ability to buy advanced turbine parts that would make its coal plants more efficient.
Where is this company structurally vulnerable?
If a mining accident, an environmental-violation shutdown order, or a government-imposed coal quota cut hits Datang's affiliated mines in Shanxi or Inner Mongolia, the fuel stops moving. Because Datang's coal supply was never a normal market relationship, the company cannot quickly call another supplier or buy on the spot market and still fit within the railway slots and dispatch schedules already locked in for that year.
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Sign in1 interpretation currently present — each is a set of fired observations whose alignment reads as one structural pattern. Click an observation to see the numbers behind it.
Screen for these patternsHow is this stock behaving?
Pivot Lows Consecutively Higher With Sustained Directional-Movement Asymmetry And OBV Trending Up
Three observations have aligned in the up direction: the higher-lows-pattern observation is firing, the ADX observation (sustained directional-movement asymmetry) is in the upper portion of its mapped range, and the OBV-trending-up observation is firing.
An interpretation is present only while every observation it reads stays fired (score ≥ 70). It describes what the aligned readings show — never a verdict, never a prediction.
What the company actually pays, and whether its own cash supports it.
The reported statements, read against the company's own industry.
1 interpretation currently present — each is a set of fired observations whose alignment reads as one structural pattern. Click an observation to see the numbers behind it.
Screen for these patternsWhere is this company structurally exposed?
Within or Near the Altman Distress Zone
Three solvency observations have converged at elevated readings: a multi-factor distress composite is high, debt is a large share of assets, and total debt is large relative to trailing operating cash flow. Together they describe structural pressure from three different angles.
An interpretation is present only while every observation it reads stays fired (score ≥ 70). It describes what the aligned readings show — never a verdict, never a prediction.
Shared structure with peers — never a ranking.
Structural observations derived from financial data, industry benchmarks, and supply chain position.
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