AgenticInvestor

Saudi Arabia Loans To Private Sector

Saudi Arabia · Monthly series · EC-SA-LPS

Latest, February 2026

3.12T SAR

+0.4% from January 2026

Open interactive chartSaudi Arabia Loans To Private Sector in the app

3.456T2.425T1.394TMarch 2016February 2027
History through February 2026, the forecast path to February 2027 (dashed) and its 80% interval (shaded).

Forecast

Forecast for February 2027: 3.29T SAR, with an 80% interval of 3.11T SAR to 3.46T SAR.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
March 20263.15T SAR3.13T SAR3.17T SAR
April 20263.17T SAR3.15T SAR3.19T SAR
May 20263.19T SAR3.16T SAR3.22T SAR
June 20263.20T SAR3.17T SAR3.24T SAR
July 20263.22T SAR3.15T SAR3.29T SAR
August 20263.23T SAR3.15T SAR3.31T SAR
September 20263.24T SAR3.13T SAR3.36T SAR
October 20263.26T SAR3.12T SAR3.38T SAR
November 20263.27T SAR3.10T SAR3.42T SAR
December 20263.27T SAR3.13T SAR3.39T SAR
January 20273.28T SAR3.12T SAR3.43T SAR
February 20273.29T SAR3.11T SAR3.46T SAR

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

AI confidence

Supported evidence

The point forecast beat the no-change baseline overall and in a majority of the evaluated tests.

Model: Agentic Investor TSFM (foundation model)

Accuracy vs naive
+64%Beats the no-change baseline over 12 tests (12 tests, 10 won)
Direction
94%Beats a coin flip (136 of 144 calls right in 12 tests)
Turning points
7 of 28Anticipated some turns (28 turns in 12 tests, 2 without a turn)
Error vs baseline
64% lowerError ratio 0.36; 1.00 is a tie.
Tests won
10 / 12Complete rolling backtests; ties count as no win.
Test period
2014-03-01 to 2026-02-0112 observations ahead per test.
80% band coverage
86%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 120 readings since March 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
February 20263.12T SAR
January 20263.11T SAR
December 20253.08T SAR
November 20253.08T SAR
October 20253.07T SAR
September 20253.07T SAR
August 20253.05T SAR
July 20253.03T SAR
June 20253.00T SAR
May 20252.99T SAR
April 20252.95T SAR
March 20252.93T SAR
February 20252.88T SAR
January 20252.85T SAR
December 20242.81T SAR
November 20242.79T SAR
October 20242.76T SAR
September 20242.73T SAR
August 20242.70T SAR
July 20242.67T SAR
June 20242.64T SAR
May 20242.61T SAR
April 20242.57T SAR
March 20242.55T SAR

Source

Data: public market data feeds.

More from Agentic Investor

Also stored for Saudi Arabia