Bankwell Financial (BWFG) Accumulated Expenses (2013 - 2026)
Bankwell Financial's Accumulated Expenses was $58.58 million in Q3 2026, up 19.3% from $49.12 million a year earlier and up 13.3% from the prior quarter.
Bankwell Financial (BWFG) Accumulated Expenses (2013 - 2026) Analysis & Trends
At the end of FY2025, Accumulated Expenses at Bankwell Financial came in at $49.19 million, down 3.4% from FY2024.
- Accumulated Expenses has now declined for three consecutive years, with a five-year compound annual growth rate of -0.2% (FY2020 to FY2025).
- In earlier years, Accumulated Expenses was $50.94 million in FY2024 (-5.3%), $53.77 million in FY2023 (-0.8%), $54.2 million in FY2022 (+18.2%) and $45.84 million in FY2021 (-7.5%).
- The Q3 2026 figure marks the highest quarterly Accumulated Expenses since Q3 2023.
- Compared with a year earlier, Accumulated Expenses was higher in three of the last eight quarters, with growth averaging 0.3%.
- The best year-over-year quarter for Accumulated Expenses over five years was Q2 2023 (growth of 51.0%); the worst was Q3 2024 (a decline of 28.9%).
- Per Business Quant data, BWFG's Accumulated Expenses in the three quarters before Q3 2026 was $51.72 million (Q2 2026), $46.99 million (Q1 2026) and $49.19 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn |
| 10 | Bankwell Financial | 563.86 Mn | -1.12 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 58.58 Mn |
| Jun 30, 2026 | 51.72 Mn |
| Mar 31, 2026 | 46.99 Mn |
| Dec 31, 2025 | 49.19 Mn |
| Sep 30, 2025 | 49.12 Mn |
| Jun 30, 2025 | 49.45 Mn |
| Mar 31, 2025 | 48.72 Mn |
| Dec 31, 2024 | 50.94 Mn |
| Sep 30, 2024 | 45.59 Mn |
| Jun 30, 2024 | 52.98 Mn |
| Mar 31, 2024 | 54.45 Mn |
| Dec 31, 2023 | 53.77 Mn |
| Sep 30, 2023 | 64.15 Mn |
| Jun 30, 2023 | 55.95 Mn |
| Mar 31, 2023 | 52.68 Mn |
| Dec 31, 2022 | 54.20 Mn |
| Sep 30, 2022 | 45.90 Mn |
| Jun 30, 2022 | 37.06 Mn |
| Mar 31, 2022 | 35.98 Mn |
| Dec 31, 2021 | 45.84 Mn |
Bankwell Financial 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=BWFG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "BWFG", "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=BWFG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();