Bancorp 34, Inc. (BCTF) Operating Expenses (2016 - 2024)
Bancorp 34's Operating Expenses was $8.36 million in Q4 2024, up 84.0% from $4.55 million a year earlier and up 26.7% from the prior quarter.
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Bancorp 34, Inc. (BCTF) Operating Expenses (2016 - 2024) Analysis & Trends
For FY2024, Operating Expenses at Bancorp 34 came in at $30.42 million, up 95.8% from FY2023.
- Operating Expenses shows a five-year compound annual growth rate of 19.5% (FY2019 to FY2024).
- In earlier years, Operating Expenses was $15.54 million in FY2023 (+2.3%) and $15.18 million in FY2022.
- The Q4 2024 figure marks the highest quarterly Operating Expenses in data going back to Q1 2016.
- Compared with a year earlier, Operating Expenses has increased for four straight quarters, with growth averaging 63.0% over the last six quarters.
- Per Business Quant data, BCTF's Operating Expenses in the three quarters before Q4 2024 was $6.6 million (Q3 2024), $7.29 million (Q2 2024) and $8.16 million (Q1 2024).
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Historic Data
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Historic Data
| Date | Value |
|---|---|
| Dec 31, 2024 | 8.36 Mn |
| Sep 30, 2024 | 6.60 Mn |
| Jun 30, 2024 | 7.29 Mn |
| Mar 31, 2024 | 8.16 Mn |
| Dec 31, 2023 | 4.55 Mn |
| Sep 30, 2023 | 3.60 Mn |
| Jun 30, 2023 | 3.79 Mn |
| Mar 31, 2023 | 3.63 Mn |
| Dec 31, 2022 | 5.49 Mn |
| Sep 30, 2022 | 3.26 Mn |
| Jun 30, 2020 | 2.58 Mn |
| Mar 31, 2020 | 3.20 Mn |
| Dec 31, 2019 | 3.06 Mn |
| Sep 30, 2019 | 3.34 Mn |
| Jun 30, 2019 | 3.10 Mn |
| Mar 31, 2019 | 2.95 Mn |
| Dec 31, 2018 | 2.93 Mn |
| Sep 30, 2018 | 3.01 Mn |
| Jun 30, 2018 | 2.80 Mn |
| Mar 31, 2018 | 6.51 Mn |
API Access
Bancorp 34, 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=BCTF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "BCTF", "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=BCTF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();