# United Kingdom Financial corporations (S.12): Interest before FISIM allocation (D.41g): Use: Current price £million: Not seasonally adjusted ()

United Kingdom Financial corporations (S.12): Interest before FISIM allocation (D.41g): Use: Current price £million: Not seasonally adjusted () was down 0.1% year on year in Q2 2026, compared with −5.7% in Q1 2026.
The level stood at 118,850 £m.
That is the highest reading since Q3 2024.
Over the past ten years it has ranged from −48.8% (Q3 2020) to 344.8% (Q1 2023), averaging 32.4%.

- Source agency: UK Office for National Statistics
- Makrognosis code: `UK.OTHERINC.Q.NSA.ITEM-J4WW.SECTOR-FC`
- Frequency: quarterly
- Units: £m
- Coverage: 1987-01-01 to 2026-04-01 (158 observations)
- Page: https://makrognosis.robomacro.com/data/united-kingdom/financial-corporations-s-12-interest-before-fisim-allocation-d-41g-use-uk-otherinc-q-nsa-item-j4ww-sector-fc

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| Q2 2026 | 118,850 £m | −0.1 |
| Q1 2026 | 114,832 £m | −5.7 |
| Q4 2025 | 119,183 £m | −6.5 |
| Q3 2025 | 120,261 £m | −9.7 |
| Q2 2025 | 119,028 £m | −10.9 |
| Q1 2025 | 121,735 £m | −9.8 |
| Q4 2024 | 127,503 £m | −5.4 |
| Q3 2024 | 133,245 £m | 2.5 |
| Q2 2024 | 133,547 £m | 16.1 |
| Q1 2024 | 134,944 £m | 32.1 |
| Q4 2023 | 134,779 £m | 68.8 |
| Q3 2023 | 130,056 £m | 150.6 |
| Q2 2023 | 115,077 £m | 250.4 |
| Q1 2023 | 102,160 £m | 344.8 |
| Q4 2022 | 79,862 £m | 323.4 |
| Q3 2022 | 51,892 £m | 171.4 |
| Q2 2022 | 32,844 £m | 68.0 |
| Q1 2022 | 22,966 £m | 22.4 |
| Q4 2021 | 18,861 £m | −6.1 |
| Q3 2021 | 19,120 £m | −8.8 |
| Q2 2021 | 19,553 £m | −21.2 |
| Q1 2021 | 18,758 £m | −44.3 |
| Q4 2020 | 20,078 £m | −45.4 |
| Q3 2020 | 20,955 £m | −48.8 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/UK.OTHERINC.Q.NSA.ITEM-J4WW.SECTOR-FC"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/UK.OTHERINC.Q.NSA.ITEM-J4WW.SECTOR-FC",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```