First Guaranty Bancshares (FGBI) Operating Expenses (2010 - 2026)
First Guaranty Bancshares (FGBI) recorded Operating Expenses of $17.21 million in Q2 2026, down 0.3% from $17.27 million a year earlier but up 2.9% from the prior quarter.
First Guaranty Bancshares (FGBI) Operating Expenses (2010 - 2026) Analysis & Trends
On a TTM basis, First Guaranty Bancshares' Operating Expenses came in at $80.9 million as of Jun 30, 2026, up 11.0% year-over-year; for FY2025, it was $82.25 million, up 6.6% from FY2024.
- Annual Operating Expenses has a five-year compound annual growth rate of 7.2% (FY2020 to FY2025).
- Across earlier years, Operating Expenses came in at $77.14 million in FY2024 (-3.2%), $79.67 million in FY2023 (+12.2%), $71.01 million in FY2022 (+11.2%) and $63.87 million in FY2021 (+10.1%).
- Quarterly Operating Expenses has ranged from $15.75 million in Q3 2021 to $30.18 million in Q3 2025 over the past five years.
- On a year-over-year basis, Operating Expenses has declined for three consecutive quarters, with growth averaging 0.9% over the last eight quarters.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 53.1% in Q3 2025, against a decline of 16.2% in Q2 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $16.73 million (Q1 2026), $16.79 million (Q4 2025) and $30.18 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 | First Guaranty Bancshares | 132.66 Mn | 132.66 Mn | - | 17.21 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 17.21 Mn |
| Mar 31, 2026 | 16.73 Mn |
| Dec 31, 2025 | 16.79 Mn |
| Sep 30, 2025 | 30.18 Mn |
| Jun 30, 2025 | 17.27 Mn |
| Mar 31, 2025 | 18.02 Mn |
| Dec 31, 2024 | 17.89 Mn |
| Sep 30, 2024 | 19.71 Mn |
| Jun 30, 2024 | 20.61 Mn |
| Mar 31, 2024 | 18.93 Mn |
| Dec 31, 2023 | 19.78 Mn |
| Sep 30, 2023 | 20.00 Mn |
| Jun 30, 2023 | 19.74 Mn |
| Mar 31, 2023 | 20.17 Mn |
| Dec 31, 2022 | 18.65 Mn |
| Sep 30, 2022 | 17.79 Mn |
| Jun 30, 2022 | 17.82 Mn |
| Mar 31, 2022 | 16.75 Mn |
| Dec 31, 2021 | 17.10 Mn |
| Sep 30, 2021 | 15.75 Mn |
First Guaranty Bancshares 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=FGBI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "FGBI", "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=FGBI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();