Coal India Reports SWMA E-auction Performance Data for March 2026 and FY26
Coal India Limited disclosed SWMA e-auction data for March 2026 and FY26 under SEBI regulations. March 2026 saw allocation of 133.17 lakh tonnes from 325.32 lakh tonnes offered at 41% allocation rate with 45% average premium. FY26 performance showed 1017.21 lakh tonnes allocated from 2221.50 lakh tonnes offered, achieving 46% allocation rate with 38% premium over notified prices.
*this image is generated using AI for illustrative purposes only.
Coal India Limited has released its Single Window Mode Agnostic (SWMA) e-auction performance data for March 2026 and the complete financial year 2025-26, as mandated under Regulation 30 of SEBI (LODR) Regulations 2015. The data provides comprehensive insights into coal allocation performance across all subsidiary companies during the specified periods.
March 2026 E-auction Performance
For March 2026, Coal India and its subsidiaries demonstrated varied performance across different regions. The company's overall allocation metrics for the month are presented below:
| Subsidiary: | Qty. Offered (Lakh Tonnes) | Qty. Allocated (Lakh Tonnes) | Allocation Rate | Premium Over Notified Price |
|---|---|---|---|---|
| ECL: | 53.21 | 16.48 | 31% | 48% |
| BCCL: | 50.91 | 6.01 | 12% | 26% |
| CCL: | 49.56 | 17.00 | 34% | 12% |
| NCL: | 9.98 | 9.98 | 100% | 80% |
| WCL: | 23.90 | 12.62 | 53% | 51% |
| SECL: | 37.35 | 27.72 | 74% | 70% |
| MCL: | 100.43 | 43.35 | 43% | 20% |
| Total CIL: | 325.32 | 133.17 | 41% | 45% |
Northern Coalfields Limited (NCL) achieved complete allocation of its offered quantity at 100% allocation rate, commanding the highest premium of 80% over notified prices. South Eastern Coalfields Limited (SECL) recorded the second-highest allocation rate at 74% with a 70% premium.
Financial Year 2025-26 Comprehensive Results
The full financial year performance showcased Coal India's substantial e-auction operations across its subsidiary network:
| Subsidiary: | Qty. Offered (Lakh Tonnes) | Qty. Allocated (Lakh Tonnes) | Allocation Rate | Premium Over Notified Price |
|---|---|---|---|---|
| ECL: | 318.72 | 127.33 | 40% | 38% |
| BCCL: | 152.79 | 25.79 | 17% | 24% |
| CCL: | 279.71 | 120.14 | 43% | 28% |
| NCL: | 112.17 | 92.86 | 83% | 58% |
| WCL: | 135.71 | 87.43 | 64% | 39% |
| SECL: | 495.94 | 296.11 | 60% | 42% |
| MCL: | 722.57 | 264.95 | 37% | 27% |
| NEC: | 3.89 | 2.61 | 67% | 62% |
| Total CIL: | 2221.50 | 1017.21 | 46% | 38% |
Regional Performance Analysis
Mahanadi Coalfields Limited (MCL) offered the highest quantity at 722.57 lakh tonnes during FY26, though achieved a 37% allocation rate. SECL demonstrated strong performance with 296.11 lakh tonnes allocated from 495.94 lakh tonnes offered. NCL maintained consistent high allocation rates throughout the year, achieving 83% allocation in FY26 compared to 100% in March 2026.
Premium Pricing Trends
The e-auction system generated substantial premiums over notified prices across all subsidiaries. March 2026 recorded higher average premiums at 45% compared to the full-year average of 38%. NCL consistently commanded the highest premiums, reflecting strong demand for its coal products in both monthly and annual performance metrics.
The provisional data submitted to stock exchanges demonstrates Coal India's systematic approach to coal marketing through the SWMA e-auction platform, ensuring transparent price discovery and efficient allocation mechanisms across its operational network.
Historical Stock Returns for Coal India
| 1 Day | 5 Days | 1 Month | 6 Months | 1 Year | 5 Years |
|---|---|---|---|---|---|
| -0.23% | -1.29% | +4.35% | +15.25% | +13.01% | +238.02% |
How will Coal India adjust its pricing strategy given the significant variation in premium rates across subsidiaries, particularly NCL's 80% premium versus BCCL's 26%?
What capacity expansion plans does Coal India have for high-performing subsidiaries like NCL and SECL to capitalize on their strong demand indicators?
Will the 41% overall allocation rate prompt Coal India to revise its quantity forecasting methodology for future e-auctions?
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