NatWest (RBSPF) Revenue (2009 - 2026)
Analysis
NatWest (RBSPF) Revenue (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 6.23 Bn |
| Jun 30, 2026 | 6.04 Bn |
| Mar 31, 2026 | 5.88 Bn |
| Dec 31, 2025 | 5.75 Bn |
| Sep 30, 2025 | 5.85 Bn |
| Jun 30, 2025 | 5.34 Bn |
| Mar 31, 2025 | 5.01 Bn |
| Dec 31, 2024 | 4.91 Bn |
| Sep 30, 2024 | 4.86 Bn |
| Jun 30, 2024 | 4.62 Bn |
| Mar 31, 2024 | 4.41 Bn |
| Dec 31, 2023 | 4.39 Bn |
| Sep 30, 2023 | 4.42 Bn |
| Jun 30, 2023 | 4.82 Bn |
| Mar 31, 2023 | 4.71 Bn |
| Dec 31, 2022 | 4.35 Bn |
| Sep 30, 2022 | 3.81 Bn |
| Jun 30, 2022 | 4.04 Bn |
| Mar 31, 2022 | 4.04 Bn |
| Dec 31, 2021 | 3.51 Bn |
API Access
NatWest Revenue 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=revenue&ticker=RBSPF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=RBSPF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();