NatWest (NWG) Other Accumulated Expenses (2009 - 2025)
NatWest's Other Accumulated Expenses came in at $7.98 for Q4 2025, down 21.3% from $10.14 a year earlier.
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Analysis
NatWest (NWG) Other Accumulated Expenses (2009 - 2025) Analysis & Trends
At the end of FY2025, NatWest's Other Accumulated Expenses was $7.91, down 21.7% from FY2024.
- Going back by year, Other Accumulated Expenses was $10.10 in FY2024 (-100.0%) and $12.31 billion in FY2023.
- The Q4 2025 figure represents the lowest quarterly Other Accumulated Expenses since Q4 2020.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 883.45 Bn | 912.92 Bn | - |
| 2 | Banco Santander Chile | 401.52 Bn | 521.46 Bn | - |
| 3 | Bank Of America | 377.43 Bn | -1,998.64 Bn | - |
| 4 | Hsbc Holdings | 330.31 Bn | 330.37 Bn | - |
| 5 | Morgan Stanley | 299.17 Bn | -209.92 Bn | - |
| 6 | Royal Bank Of Canada | 274.08 Bn | 124.82 Bn | - |
| 7 | Mitsubishi Ufj Financial | 270.70 Bn | -1,317.79 Bn | 10.89 Bn |
| 8 | Goldman Sachs | 263.13 Bn | -3,293.98 Bn | - |
| 9 | Wells Fargo & Company | 243.64 Bn | 245.78 Bn | - |
| 10 | NatWest | 72.69 Bn | -795.69 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 7.98 |
| Dec 31, 2024 | 10.14 |
| Dec 31, 2023 | 12.29 Bn |
| Dec 31, 2020 | -1.47 Bn |
| Jun 30, 2020 | 1.38 Bn |
| Dec 31, 2019 | -1.42 Bn |
| Dec 31, 2018 | -1.62 Bn |
| Jun 30, 2018 | -123.97 Mn |
| Mar 31, 2018 | -97.37 Mn |
| Sep 30, 2017 | 14.79 |
| Jun 30, 2017 | 6.20 Bn |
| Dec 31, 2016 | -20.13 Bn |
| Mar 31, 2016 | 164.83 Mn |
| Dec 31, 2015 | -24.82 Bn |
| Sep 30, 2015 | -34.11 Mn |
| Mar 31, 2015 | 182.35 Bn |
| Dec 31, 2014 | -55.45 Mn |
| Sep 30, 2014 | 5.01 Mn |
| Jun 30, 2014 | 58.89 Mn |
| Mar 31, 2014 | 183.44 Bn |
API Access
NatWest Other Accumulated 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=other-accumulated-expenses&ticker=NWG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "ticker": "NWG", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=other-accumulated-expenses&ticker=NWG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();