South Africa GDP From Utilities

South Africa · Quarterly series · EC-ZA-GDPU

Latest, Q2 2026

189.98B ZAR

+0.9% from Q1 2026

Open interactive chartSouth Africa GDP From Utilities in the app

207.4B82.59B-42.27BQ3 1996Q2 2027
History through Q2 2026, the forecast path to Q2 2027 (dashed) and its 80% interval (shaded).

Forecast

Forecast for Q2 2027: 187.51B ZAR, with an 80% interval of -42.27B ZAR to 207.44B ZAR.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
Q3 2026188.34B ZAR124.03B ZAR195.44B ZAR
Q4 2026188.55B ZAR24.62B ZAR200.26B ZAR
Q1 2027187.88B ZAR46.59B ZAR197.61B ZAR
Q2 2027187.51B ZAR-42.27B ZAR207.44B ZAR

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
-2%Matches the no-change baseline over 8 tests (8 tests, 4 won)
Direction
53%No clear edge over a coin flip (17 of 32 calls right in 8 tests)
Turning points
2 of 11Anticipated some turns (11 turns in 8 tests, 1 without a turn)
Error vs baseline
2% higherError ratio 1.02; 1.00 is a tie.
Tests won
4 / 8Complete rolling backtests; ties count as no win.
Test period
2018-09-01 to 2026-06-014 observations ahead per test.
80% band coverage
84%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 2026189.98B ZAR
Q1 2026188.27B ZAR
Q4 202592.95B ZAR
Q3 202595.03B ZAR
Q2 202597.74B ZAR
Q1 202597.50B ZAR
Q4 2024100.13B ZAR
Q3 2024101.60B ZAR
Q2 2024100.95B ZAR
Q1 202497.91B ZAR
Q4 202398.32B ZAR
Q3 202396.36B ZAR
Q2 202396.08B ZAR
Q1 202396.71B ZAR
Q4 202297.55B ZAR
Q3 202299.53B ZAR
Q2 2022102.24B ZAR
Q1 2022103.65B ZAR
Q4 2021101.17B ZAR
Q3 2021104.41B ZAR
Q2 2021104.10B ZAR
Q1 2021103.51B ZAR
Q4 2020104.37B ZAR
Q3 2020103.88B ZAR

Source

Data: public market data feeds.

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Also stored for South Africa