Magnolia Bancorp, Inc. (MGNO) Operating Expenses (2023 - 2026)
Magnolia Bancorp's Operating Expenses was $410,000 in Q2 2026, up 6.2% from $386,000 a year earlier but down 1.7% from the prior quarter.
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Magnolia Bancorp, Inc. (MGNO) Operating Expenses (2023 - 2026) Analysis & Trends
On a trailing twelve-month basis, Magnolia Bancorp's Operating Expenses was $1.63 million through Jun 30, 2026, up 15.8% year-over-year; for FY2025, it was $1.56 million, up 26.9% from FY2024.
- In earlier years, Operating Expenses was $1.23 million in FY2024 (-1.6%) and $1.25 million in FY2023.
- Quarterly Operating Expenses has moved between $287,000 (Q2 2024) and $417,000 (Q1 2026) over five years.
- Compared with a year earlier, Operating Expenses has increased for eight straight quarters, with growth averaging 17.4% over the last eight quarters.
- Over the past five years, the year-over-year growth in Operating Expenses ranged from 2.6% (Q3 2024) to 34.5% (Q2 2025).
- Per Business Quant data, MGNO's Operating Expenses in the three quarters before Q2 2026 was $417,000 (Q1 2026), $399,000 (Q4 2025) and $400,000 (Q3 2025).
Peer Set
Peer Comparison
Historic Data
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Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 410,000.00 |
| Mar 31, 2026 | 417,000.00 |
| Dec 31, 2025 | 399,000.00 |
| Sep 30, 2025 | 400,000.00 |
| Jun 30, 2025 | 386,000.00 |
| Mar 31, 2025 | 376,000.00 |
| Dec 31, 2024 | 327,000.00 |
| Sep 30, 2024 | 315,000.00 |
| Jun 30, 2024 | 287,000.00 |
| Mar 31, 2024 | 303,000.00 |
| Dec 31, 2023 | 293,000.00 |
| Sep 30, 2023 | 307,000.00 |
API Access
Magnolia Bancorp, 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=MGNO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "MGNO", "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=MGNO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();