Bankwell Financial (BWFG) Operating Expenses (2013 - 2026)
Bankwell Financial (BWFG) posted Operating Expenses of $15.26 million for Q2 2026, up 4.9% from $14.55 million a year earlier but down 9.7% from the prior quarter.
Bankwell Financial (BWFG) Operating Expenses (2013 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Bankwell Financial was $62.25 million, up 14.9% year-over-year; for FY2025, it was $58.79 million, up 15.2% from FY2024.
- Annual Operating Expenses has increased for four consecutive years, with a five-year compound annual growth rate of 6.5% (FY2020 to FY2025).
- In prior years, Bankwell Financial's Operating Expenses was $51.05 million in FY2024 (+1.3%), $50.4 million in FY2023 (+13.6%), $44.36 million in FY2022 (+11.6%) and $39.74 million in FY2021 (-7.2%).
- Quarterly Operating Expenses has run from a low of $9.68 million in Q4 2021 to a high of $16.89 million in Q1 2026 over five years.
- On a year-over-year basis, Operating Expenses has increased in each of the last six quarters, with growth averaging 11.2% over the last eight quarters.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q4 2022, with growth of 28.8%; the weakest was Q4 2021, with a decline of 29.4%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $16.89 million (Q1 2026), $15.47 million (Q4 2025) and $14.63 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 890.60 Bn | 920.07 Bn | - | 27.32 Bn |
| 2 | Banco Santander Chile | 421.74 Bn | 541.68 Bn | - | -3,218.32 Bn |
| 3 | Bank Of America | 385.85 Bn | -1,990.22 Bn | - | 18.63 Bn |
| 4 | Hsbc Holdings | 345.94 Bn | 345.99 Bn | - | - |
| 5 | Morgan Stanley | 303.15 Bn | -205.95 Bn | - | 13.90 Bn |
| 6 | Royal Bank Of Canada | 279.82 Bn | 130.57 Bn | - | 7.02 Bn |
| 7 | Mitsubishi Ufj Financial | 274.62 Bn | -1,313.87 Bn | 10.89 Bn | 17.50 Bn |
| 8 | Goldman Sachs | 267.07 Bn | -3,290.04 Bn | - | 11.67 Bn |
| 9 | Wells Fargo & Company | 243.79 Bn | 245.93 Bn | - | 13.66 Bn |
| 10 | Bankwell Financial | 520.89 Mn | -192.66 Mn | - | 15.26 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 15.26 Mn |
| Mar 31, 2026 | 16.89 Mn |
| Dec 31, 2025 | 15.47 Mn |
| Sep 30, 2025 | 14.63 Mn |
| Jun 30, 2025 | 14.55 Mn |
| Mar 31, 2025 | 14.14 Mn |
| Dec 31, 2024 | 12.64 Mn |
| Sep 30, 2024 | 12.87 Mn |
| Jun 30, 2024 | 12.25 Mn |
| Mar 31, 2024 | 13.30 Mn |
| Dec 31, 2023 | 12.86 Mn |
| Sep 30, 2023 | 12.21 Mn |
| Jun 30, 2023 | 12.64 Mn |
| Mar 31, 2023 | 12.69 Mn |
| Dec 31, 2022 | 12.47 Mn |
| Sep 30, 2022 | 11.03 Mn |
| Jun 30, 2022 | 10.94 Mn |
| Mar 31, 2022 | 9.93 Mn |
| Dec 31, 2021 | 9.68 Mn |
| Sep 30, 2021 | 10.37 Mn |
Bankwell Financial Operating 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=operating-expenses&ticker=BWFG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=BWFG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();