1895 Bancorp of Wisconsin (BCOW) Operating Expenses (2020 - 2024)
1895 Bancorp of Wisconsin's Operating Expenses was $4.29 million in Q3 2024, up 15.6% from $3.71 million a year earlier but down 6.3% from the prior quarter.
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Analysis
1895 Bancorp of Wisconsin (BCOW) Operating Expenses (2020 - 2024) Analysis & Trends
On a trailing twelve-month basis, 1895 Bancorp of Wisconsin's Operating Expenses was $17.36 million through Sep 30, 2024, up 0.7% year-over-year; for FY2023, it came in at $17.04 million, up 4.7% from FY2022.
- Operating Expenses shows a three-year compound annual growth rate of 2.8% (FY2020 to FY2023).
- In earlier years, Operating Expenses was $16.28 million in FY2022 (-3.8%), $16.92 million in FY2021 (+7.9%) and $15.68 million in FY2020.
- Quarterly Operating Expenses has moved between $3.68 million (Q2 2022) and $4.74 million (Q4 2020) over five years.
- Compared with a year earlier, Operating Expenses was higher in three of the last eight quarters, with growth averaging 3.3%.
- The best year-over-year quarter for Operating Expenses over five years was Q2 2023 (growth of 27.4%); the worst was Q2 2022 (a decline of 15.5%).
- Per Business Quant data, BCOW's Operating Expenses in the three quarters before Q3 2024 was $4.58 million (Q2 2024), $4.3 million (Q1 2024) and $4.2 million (Q4 2023).
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Historic Data
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Historic Data
| Date | Value |
|---|---|
| Sep 30, 2024 | 4.29 Mn |
| Jun 30, 2024 | 4.58 Mn |
| Mar 31, 2024 | 4.30 Mn |
| Dec 31, 2023 | 4.20 Mn |
| Sep 30, 2023 | 3.71 Mn |
| Jun 30, 2023 | 4.69 Mn |
| Mar 31, 2023 | 4.44 Mn |
| Dec 31, 2022 | 4.40 Mn |
| Sep 30, 2022 | 4.25 Mn |
| Jun 30, 2022 | 3.68 Mn |
| Mar 31, 2022 | 3.95 Mn |
| Dec 31, 2021 | 4.67 Mn |
| Sep 30, 2021 | 3.80 Mn |
| Jun 30, 2021 | 4.36 Mn |
| Mar 31, 2021 | 4.09 Mn |
| Dec 31, 2020 | 4.74 Mn |
| Sep 30, 2020 | 3.89 Mn |
| Jun 30, 2020 | 3.98 Mn |
API Access
1895 Bancorp of Wisconsin 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=BCOW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "BCOW", "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=BCOW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();