FB Financial (FBK) Return on Sales [ROS] (2016 - 2026)
FB Financial's Return on Sales [ROS] was 655.69% in Q2 2026, up 393.28 percentage points from 262.41% a year earlier and up 14.73 percentage points from the prior quarter.
FB Financial (FBK) Return on Sales [ROS] (2016 - 2026) Analysis & Trends
On a trailing twelve-month basis, FB Financial's Return on Sales [ROS] was 594.52% through Jun 30, 2026, up 138.18 percentage points year-over-year; for FY2025, it was 475.51%, down 57.33 percentage points from FY2024.
- Return on Sales [ROS] shows a five-year change of +429.62 percentage points (FY2020 to FY2025).
- In earlier years, Return on Sales [ROS] was 532.84% in FY2024 (-4.44 pp), 537.28% in FY2023 (+329.49 pp), 207.79% in FY2022 (+71.57 pp) and 136.21% in FY2021 (+90.33 pp).
- The Q2 2026 figure marks the highest quarterly Return on Sales [ROS] in data going back to Q1 2016.
- Compared with a year earlier, Return on Sales [ROS] was higher in four of the last eight quarters, with an average year-over-year change of +22.33 percentage points.
- The best year-over-year quarter for Return on Sales [ROS] over five years was Q2 2023 (a gain of 443.35 percentage points); the worst was Q2 2025 (a drop of 328.36 percentage points).
- Per Business Quant data, FBK's Return on Sales [ROS] in the three quarters before Q2 2026 was 640.97% (Q1 2026), 613.45% (Q4 2025) and 474.23% (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 | FB Financial | 2.67 Bn | -2.04 Bn | - | 655.69% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 655.69% |
| Mar 31, 2026 | 640.97% |
| Dec 31, 2025 | 613.45% |
| Sep 30, 2025 | 474.23% |
| Jun 30, 2025 | 262.41% |
| Mar 31, 2025 | 542.31% |
| Dec 31, 2024 | 614.31% |
| Sep 30, 2024 | 423.44% |
| Jun 30, 2024 | 590.77% |
| Mar 31, 2024 | 506.34% |
| Dec 31, 2023 | 643.45% |
| Sep 30, 2023 | 465.14% |
| Jun 30, 2023 | 546.42% |
| Mar 31, 2023 | 511.72% |
| Dec 31, 2022 | 504.60% |
| Sep 30, 2022 | 283.17% |
| Jun 30, 2022 | 103.08% |
| Mar 31, 2022 | 129.83% |
| Dec 31, 2021 | 173.52% |
| Sep 30, 2021 | 114.12% |
FB 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=FBK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "FBK", "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=FBK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();