India GDP From Utilities
India · Quarterly series · EC-IN-GDPU
Latest, Q2 2026
1.92T INR
+11.5% from Q1 2026
Forecast
Forecast for Q2 2027: 2.00T INR, with an 80% interval of -174.25B INR to 4.35T INR.
| Period | Forecast | 80% low | 80% high |
|---|---|---|---|
| Q3 2026 | 1.95T INR | 994.67B INR | 2.87T INR |
| Q4 2026 | 1.89T INR | 1.27T INR | 2.40T INR |
| Q1 2027 | 1.92T INR | 762.99B INR | 2.95T INR |
| Q2 2027 | 2.00T INR | -174.25B INR | 4.35T INR |
AI confidence
Mixed evidenceThe 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.
- Band coverage uses all stored test windows, including model-selection windows when present; it does not determine the confidence label.
- Evaluated 2026-11-15 against the cached history through 2026-06-01.
- This is an evaluation of the serving model; it does not establish a winner across four model classes.
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.
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.
Recent history (24 observations)
| Period | Value |
|---|---|
| Q2 2026 | 1.92T INR |
| Q1 2026 | 1.72T INR |
| Q4 2025 | 1.60T INR |
| Q3 2025 | 1.77T INR |
| Q2 2025 | 1.06T INR |
| Q1 2025 | 1.00T INR |
| Q4 2024 | 963.01B INR |
| Q3 2024 | 1.03T INR |
| Q2 2024 | 1.04T INR |
| Q1 2024 | 927.85B INR |
| Q4 2023 | 896.70B INR |
| Q3 2023 | 976.86B INR |
| Q2 2023 | 940.34B INR |
| Q1 2023 | 852.97B INR |
| Q4 2022 | 822.88B INR |
| Q3 2022 | 883.79B INR |
| Q2 2022 | 911.45B INR |
| Q1 2022 | 798.26B INR |
| Q4 2021 | 757.34B INR |
| Q3 2021 | 830.54B INR |
| Q2 2021 | 788.76B INR |
| Q1 2021 | 747.92B INR |
| Q4 2020 | 710.71B INR |
| Q3 2020 | 744.89B INR |
Source
Data: public market data feeds.
More from Agentic Investor
- Open India GDP From Utilities in the app: the interactive chart and a fresh forecast
- World and commodity series: every stored series
- Vietnam indicators