BV Financial, Inc. (BVFL) Operating Expenses (2022 - 2026)
BV Financial (BVFL) recorded Operating Expenses of $7.6 million in Q1 2026, up 23.0% from $6.18 million a year earlier and up 41.3% from the prior quarter.
BV Financial, Inc. (BVFL) Operating Expenses (2022 - 2026) Analysis & Trends
On a TTM basis, BV Financial's Operating Expenses came in at $24.61 million as of Mar 31, 2026, up 8.1% year-over-year; for FY2025, it came in at $23.19 million, up 7.9% from FY2024.
- Annual Operating Expenses has a three-year compound annual growth rate of 5.1% (FY2022 to FY2025).
- Across earlier years, Operating Expenses came in at $21.5 million in FY2024 (+10.8%), $19.41 million in FY2023 (-2.9%) and $19.99 million in FY2022.
- The Q1 2026 figure is the highest quarterly Operating Expenses in data going back to Q1 2022.
- On a year-over-year basis, Operating Expenses rose in seven of the last eight quarters, with growth averaging 12.2%.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 25.5% in Q1 2025, against a decline of 18.7% in Q4 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $5.38 million (Q4 2025), $5.88 million (Q3 2025) and $5.76 million (Q2 2025).
Peer Comparison
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 7.60 Mn |
| Dec 31, 2025 | 5.38 Mn |
| Sep 30, 2025 | 5.88 Mn |
| Jun 30, 2025 | 5.76 Mn |
| Mar 31, 2025 | 6.18 Mn |
| Dec 31, 2024 | 6.21 Mn |
| Sep 30, 2024 | 5.47 Mn |
| Jun 30, 2024 | 4.90 Mn |
| Mar 31, 2024 | 4.92 Mn |
| Dec 31, 2023 | 5.16 Mn |
| Sep 30, 2023 | 5.01 Mn |
| Jun 30, 2023 | 4.54 Mn |
| Mar 31, 2023 | 4.70 Mn |
| Dec 31, 2022 | 6.35 Mn |
| Sep 30, 2022 | 4.60 Mn |
| Jun 30, 2022 | 4.69 Mn |
| Mar 31, 2022 | 4.36 Mn |
BV Financial, Inc. 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=BVFL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "BVFL", "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=BVFL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();