India GDP From Utilities

India · Quarterly series · EC-IN-GDPU

Latest, Q2 2026

1.92T INR

+11.5% from Q1 2026

Open interactive chartIndia GDP From Utilities in the app

4.346T2.086T-174.2BQ2 2011Q2 2027
History through Q2 2026, the forecast path to Q2 2027 (dashed) and its 80% interval (shaded).

Forecast

Forecast for Q2 2027: 2.00T INR, with an 80% interval of -174.25B INR to 4.35T INR.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
Q3 20261.95T INR994.67B INR2.87T INR
Q4 20261.89T INR1.27T INR2.40T INR
Q1 20271.92T INR762.99B INR2.95T INR
Q2 20272.00T INR-174.25B INR4.35T INR

Model: Agentic Investor TSFM (foundation model). Forecast generated 2026-11-15.

AI confidence

Mixed evidence

The tests show no consistent, material advantage over the no-change baseline.

Model: Agentic Investor TSFM (foundation model)

Accuracy vs naive
+4%Matches the no-change baseline over 8 tests (8 tests, 3 won)
Direction
66%No clear edge over a coin flip (21 of 32 calls right in 8 tests)
Turning points
11 of 14Anticipated most turns (14 turns in 8 tests, 0 without a turn)
Error vs baseline
4% lowerError ratio 0.96; 1.00 is a tie.
Tests won
3 / 8Complete rolling backtests; ties count as no win.
Test period
2018-09-01 to 2026-06-014 observations ahead per test.
80% band coverage
81%Observed outcomes inside the band across all stored test windows.
How this assessment is made

AI confidence describes historical evidence for this forecast, not a probability of being correct. Each backtest fits on data available before its test window. The baseline carries the last value forward. Supported evidence requires at least six complete, non-overlapping tests, an error ratio below 0.90 (rounded to two decimals), and wins in a majority of tests. Ratios from 0.90 to below 1.10 are on par; 1.10 or above is weak evidence. Inconsistent wins produce mixed evidence. For a selected model, only the recent tests excluded from model selection determine this label. These are historical simulations using the available data, not a live trading track record; revisions and foundation-model pretraining can limit how closely they reproduce a past decision. Past performance can change.

Replay past tests

Model comparison

Comparison pendingA new ticker first receives its serving model's forecast and evaluation. An eligible nightly batch can compare both candidates, subject to call budgets and retry limits.

Reading

That is the highest of the 40 readings since Q3 2016.

Written from the figures by a fixed template; no AI model is involved.

Recent history (24 observations)
The 24 most recent observations, newest first.
PeriodValue
Q2 20261.92T INR
Q1 20261.72T INR
Q4 20251.60T INR
Q3 20251.77T INR
Q2 20251.06T INR
Q1 20251.00T INR
Q4 2024963.01B INR
Q3 20241.03T INR
Q2 20241.04T INR
Q1 2024927.85B INR
Q4 2023896.70B INR
Q3 2023976.86B INR
Q2 2023940.34B INR
Q1 2023852.97B INR
Q4 2022822.88B INR
Q3 2022883.79B INR
Q2 2022911.45B INR
Q1 2022798.26B INR
Q4 2021757.34B INR
Q3 2021830.54B INR
Q2 2021788.76B INR
Q1 2021747.92B INR
Q4 2020710.71B INR
Q3 2020744.89B INR

Source

Data: public market data feeds.

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