SAIL’s Q1 profit trend will largely track two things: (1) domestic HRC / rebar price movement vs. Q4, and (2) movement in key input costs (coking coal, iron ore, power).

Based on typical steel price and cost dynamics, here is the likely directional impact:

1. Revenue and realisations

- If domestic steel prices in Apr–Jun 2026 have been flat to mildly up versus Jan–Mar 2026, SAIL’s average realisation per tonne should be stable to slightly higher.

- If prices have corrected meaningfully from Q4 levels, Q1 profits are likely to compress, even if volumes are steady, because SAIL is a high-operating-leverage company.

2. Raw material & margin impact

- Iron ore: SAIL is largely captive in iron ore, so spot ore price swings affect it less than peers.

- Coking coal: If seaborne coking coal prices have cooled off from FY26 peaks, Q1 margins can see a sequential boost even with flat steel prices. A drop of USD 20–30/tonne in coal, with a 1–2 quarter lag in contracts passing through, can meaningfully improve EBITDA/tonne.

- Net effect:

- Steel prices flat, coal down → Q1 EBITDA/tonne likely improves, profit trend up vs Q4.

- Steel prices down, coal flat/up → Q1 EBITDA/tonne likely compresses, profit trend down vs Q4.

- Both down (steel > coal) → still negative for profit, as realisation hit is usually larger and more immediate.

3. Volume and product mix

- If Q1 saw higher volumes (seasonally construction demand, infra push) and a better long-products mix, this can partially offset any price softness.

- Conversely, any production disruption or weaker export realisations will weigh on profits.

4. How to read the likely Q1 trend from steel prices in practice (framework you can apply now)

Check three current data points (from exchange/industry sources like JSW, Tata Steel commentary, or SteelMint/PLatts indices):

1) % change in HRC/Rebar prices Q1 vs Q4

2) % change in coking coal index Q1 vs Q4 (with 1–2 quarter lag)

3) SAIL’s reported EBITDA/tonne trend in last 2 quarters

Then:

- If (1) ≥ 0% and (2) ≤ 0% → bias towards Q1 profit improvement.

- If (1) ≤ 0% and price drop magnitude > cost savings from (2) → bias towards Q1 profit decline.

This is a directional framework; exact profit numbers will depend on SAIL’s reported volumes, contracts, and any one-offs when results are announced.

If you share what you’re seeing on domestic steel prices (e.g., “HRC down ~₹X per tonne vs Q4”), this same logic will let you estimate whether Q1 profits are likely to be up or down versus the previous quarter.

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