First Guaranty Bancshares (FGBI) Return on Sales [ROS] (2010 - 2026)
First Guaranty Bancshares (FGBI) recorded Return on Sales [ROS] of 137.93% in Q2 2026, up 45.29 percentage points from 92.64% a year earlier but down 15.49 percentage points from the prior quarter.
First Guaranty Bancshares (FGBI) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
On a TTM basis, First Guaranty Bancshares' Return on Sales [ROS] came in at 84.90% as of Jun 30, 2026, down 34.11 percentage points year-over-year; for FY2025, it came in at 60.55%, down 71.34 percentage points from FY2024.
- Annual Return on Sales [ROS] has a five-year change of +8.18 percentage points (FY2020 to FY2025).
- Across earlier years, Return on Sales [ROS] came in at 131.89% in FY2024 (+16.24 pp), 115.66% in FY2023 (+49.99 pp), 65.67% in FY2022 (+9.13 pp) and 56.54% in FY2021 (+4.17 pp).
- Quarterly Return on Sales [ROS] has ranged from -94.40% in Q3 2025 to 153.42% in Q1 2026 over the past five years.
- On a year-over-year basis, Return on Sales [ROS] has increased for three consecutive quarters, with an average year-over-year change of -20.69 percentage points over the last eight quarters.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 60.83 percentage points in Q3 2023, against a drop of 231.73 percentage points in Q3 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at 153.42% (Q1 2026), 150.68% (Q4 2025) and -94.40% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 883.45 Bn | 912.92 Bn | - | 91.77% |
| 2 | Banco Santander Chile | 401.52 Bn | 521.46 Bn | - | - |
| 3 | Bank Of America | 377.43 Bn | -1,998.64 Bn | - | 93.16% |
| 4 | Hsbc Holdings | 330.31 Bn | 330.37 Bn | - | - |
| 5 | Morgan Stanley | 299.17 Bn | -209.92 Bn | - | 95.89% |
| 6 | Royal Bank Of Canada | 274.08 Bn | 124.82 Bn | - | 138.04% |
| 7 | Mitsubishi Ufj Financial | 270.70 Bn | -1,317.79 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 263.13 Bn | -3,293.98 Bn | - | 131.07% |
| 9 | Wells Fargo & Company | 243.64 Bn | 245.78 Bn | - | 84.05% |
| 10 | First Guaranty Bancshares | 131.24 Mn | 131.24 Mn | - | 137.93% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 137.93% |
| Mar 31, 2026 | 153.42% |
| Dec 31, 2025 | 150.68% |
| Sep 30, 2025 | -94.40% |
| Jun 30, 2025 | 92.64% |
| Mar 31, 2025 | 98.68% |
| Dec 31, 2024 | 144.80% |
| Sep 30, 2024 | 137.34% |
| Jun 30, 2024 | 113.59% |
| Mar 31, 2024 | 140.24% |
| Dec 31, 2023 | 130.77% |
| Sep 30, 2023 | 128.60% |
| Jun 30, 2023 | 110.90% |
| Mar 31, 2023 | 94.03% |
| Dec 31, 2022 | 82.95% |
| Sep 30, 2022 | 67.77% |
| Jun 30, 2022 | 57.19% |
| Mar 31, 2022 | 55.88% |
| Dec 31, 2021 | 56.71% |
| Sep 30, 2021 | 59.55% |
First Guaranty Bancshares Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=FGBI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=FGBI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();