NatWest (NWG) Accumulated Expenses (2016 - 2025)
NatWest's Accumulated Expenses was $6.14 billion in Q2 2025, down 6.5% from $6.57 billion a year earlier.
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Analysis
NatWest (NWG) Accumulated Expenses (2016 - 2025) Analysis & Trends
At the end of FY2023, Accumulated Expenses at NatWest came in at $6.65 billion, down 7.3% from FY2022.
- Accumulated Expenses shows a five-year compound annual growth rate of -8.4% (FY2018 to FY2023).
- In earlier years, Accumulated Expenses was $7.17 billion in FY2022, $1.11 billion in FY2020 (-27.1%) and $1.53 billion in FY2019 (-85.2%).
- The Q2 2025 figure marks the lowest quarterly Accumulated Expenses since Q4 2020.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 886.05 Bn | 915.53 Bn | - |
| 2 | Banco Santander Chile | 409.93 Bn | 529.88 Bn | - |
| 3 | Bank Of America | 377.01 Bn | -1,999.06 Bn | - |
| 4 | Hsbc Holdings | 329.11 Bn | 329.16 Bn | - |
| 5 | Morgan Stanley | 295.54 Bn | -213.55 Bn | - |
| 6 | Royal Bank Of Canada | 273.59 Bn | 124.33 Bn | - |
| 7 | Mitsubishi Ufj Financial | 268.33 Bn | -1,320.16 Bn | 10.89 Bn |
| 8 | Goldman Sachs | 261.29 Bn | -3,295.82 Bn | - |
| 9 | Wells Fargo & Company | 243.13 Bn | 245.26 Bn | - |
| 10 | NatWest | 71.58 Bn | -796.80 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2025 | 6.14 Bn |
| Jun 30, 2024 | 6.57 Bn |
| Dec 31, 2023 | 6.64 Bn |
| Jun 30, 2023 | 6.69 Bn |
| Dec 31, 2022 | 6.80 Bn |
| Jun 30, 2022 | 7.30 Bn |
| Jun 30, 2021 | 8.93 Bn |
| Dec 31, 2020 | 1.14 Bn |
| Jun 30, 2020 | 11.98 Bn |
| Dec 31, 2019 | 1.54 Bn |
| Jun 30, 2019 | 10.28 Bn |
| Dec 31, 2018 | 9.93 Bn |
| Jun 30, 2018 | 7.96 Bn |
| Dec 31, 2016 | 4.71 Bn |
API Access
NatWest 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=accumulated-expenses&ticker=NWG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=accumulated-expenses&ticker=NWG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();