BayFirst Financial (BAFN) Return on Sales [ROS] (2020 - 2026)
BayFirst Financial's Return on Sales [ROS] was -1419.71% in Q2 2026, down 1453.60 percentage points from 33.90% a year earlier and down 1419.94 percentage points from the prior quarter.
BayFirst Financial (BAFN) Return on Sales [ROS] (2020 - 2026) Analysis & Trends
On a trailing twelve-month basis, BayFirst Financial's Return on Sales [ROS] was -145.12% through Jun 30, 2026, down 198.98 percentage points year-over-year; for FY2025, it came in at 11.09%, down 49.94 percentage points from FY2024.
- Return on Sales [ROS] shows a five-year change of -8.78 percentage points (FY2020 to FY2025).
- In earlier years, Return on Sales [ROS] was 61.03% in FY2024 (+14.48 pp), 46.55% in FY2023 (+21.20 pp), 25.35% in FY2022 (-5.22 pp) and 30.57% in FY2021 (+10.70 pp).
- The Q2 2026 figure marks the lowest quarterly Return on Sales [ROS] in data going back to Q3 2020.
- Compared with a year earlier, Return on Sales [ROS] has declined for six straight quarters, with an average year-over-year change of -217.41 percentage points over the last eight quarters.
- The best year-over-year quarter for Return on Sales [ROS] over five years was Q2 2023 (a gain of 35.55 percentage points); the worst was Q2 2026 (a drop of 1453.60 percentage points).
- Per Business Quant data, BAFN's Return on Sales [ROS] in the three quarters before Q2 2026 was 0.23% (Q1 2026), 48.17% (Q4 2025) and -153.77% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 91.99% |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 89.38% |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | 48.15% |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | 95.47% |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | 138.04% |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 139.33% |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 84.54% |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | 51.45% |
| 10 | BayFirst Financial | 164.20 Mn | -444.74 Mn | - | 47.76% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 47.76% |
| Jun 30, 2026 | -1,419.71% |
| Mar 31, 2026 | 0.23% |
| Dec 31, 2025 | 60.26% |
| Sep 30, 2025 | -153.77% |
| Jun 30, 2025 | 33.90% |
| Mar 31, 2025 | 44.04% |
| Dec 31, 2024 | 68.90% |
| Sep 30, 2024 | 62.28% |
| Jun 30, 2024 | 59.85% |
| Mar 31, 2024 | 50.52% |
| Dec 31, 2023 | 52.37% |
| Sep 30, 2023 | 51.45% |
| Jun 30, 2023 | 45.44% |
| Mar 31, 2023 | 34.30% |
| Dec 31, 2022 | 39.65% |
| Sep 30, 2022 | 32.57% |
| Jun 30, 2022 | 9.89% |
| Mar 31, 2022 | 9.92% |
| Dec 31, 2021 | 17.59% |
BayFirst Financial 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=BAFN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "BAFN", "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=BAFN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();