NatWest (RBSPF) Interest Expenses (2009 - 2026)
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Analysis
NatWest (RBSPF) Interest Expenses (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -4.46 Bn |
| Jun 30, 2026 | -4.19 Bn |
| Mar 31, 2026 | -4.08 Bn |
| Dec 31, 2025 | -4.13 Bn |
| Sep 30, 2025 | -4.34 Bn |
| Jun 30, 2025 | -4.35 Bn |
| Mar 31, 2025 | -4.14 Bn |
| Dec 31, 2024 | -4.47 Bn |
| Sep 30, 2024 | -4.61 Bn |
| Jun 30, 2024 | -4.39 Bn |
| Mar 31, 2024 | -4.32 Bn |
| Dec 31, 2023 | -4.12 Bn |
| Sep 30, 2023 | -3.68 Bn |
| Jun 30, 2023 | -2.70 Bn |
| Mar 31, 2023 | -1.94 Bn |
| Dec 31, 2022 | -1.38 Bn |
| Sep 30, 2022 | -826.16 Mn |
| Jun 30, 2022 | -646.03 Mn |
| Mar 31, 2022 | -540.76 Mn |
| Dec 31, 2021 | -543.25 Mn |
API Access
NatWest Interest Expenses API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=interest-expenses&ticker=RBSPF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "ticker": "RBSPF", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=interest-expenses&ticker=RBSPF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();