Bancfirst (BANF) Return on Sales [ROS] (2010 - 2026)
Bancfirst's Return on Sales [ROS] was 583.76% in Q2 2026, down 40.34 percentage points from 624.10% a year earlier and down 8.13 percentage points from the prior quarter.
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Analysis
Bancfirst (BANF) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Bancfirst's Return on Sales [ROS] was 594.37% through Jun 30, 2026, down 22.64 percentage points year-over-year; for FY2025, it came in at 610.37%, up 5.60 percentage points from FY2024.
- Return on Sales [ROS] has now increased for five consecutive years, with a five-year change of +445.98 percentage points (FY2020 to FY2025).
- In earlier years, Return on Sales [ROS] was 604.77% in FY2024 (+116.55 pp), 488.22% in FY2023 (+211.29 pp), 276.93% in FY2022 (+48.81 pp) and 228.12% in FY2021 (+63.72 pp).
- The Q2 2026 figure marks the lowest quarterly Return on Sales [ROS] since Q4 2023.
- Compared with a year earlier, Return on Sales [ROS] has declined for four straight quarters, with an average year-over-year change of +9.37 percentage points over the last eight quarters.
- The best year-over-year quarter for Return on Sales [ROS] over five years was Q1 2023 (a gain of 246.89 percentage points); the worst was Q1 2022 (a drop of 59.91 percentage points).
- Per Business Quant data, BANF's Return on Sales [ROS] in the three quarters before Q2 2026 was 591.89% (Q1 2026), 586.38% (Q4 2025) and 616.11% (Q3 2025).
Peer Set
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 | Bancfirst | 3.63 Bn | 3.63 Bn | - | 583.76% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 583.76% |
| Mar 31, 2026 | 591.89% |
| Dec 31, 2025 | 586.38% |
| Sep 30, 2025 | 616.11% |
| Jun 30, 2025 | 624.10% |
| Mar 31, 2025 | 615.88% |
| Dec 31, 2024 | 601.52% |
| Sep 30, 2024 | 626.62% |
| Jun 30, 2024 | 587.33% |
| Mar 31, 2024 | 603.03% |
| Dec 31, 2023 | 559.48% |
| Sep 30, 2023 | 553.36% |
| Jun 30, 2023 | 427.65% |
| Mar 31, 2023 | 434.66% |
| Dec 31, 2022 | 372.37% |
| Sep 30, 2022 | 309.68% |
| Jun 30, 2022 | 234.19% |
| Mar 31, 2022 | 187.78% |
| Dec 31, 2021 | 188.68% |
| Sep 30, 2021 | 205.88% |
API Access
Bancfirst 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=BANF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "BANF", "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=BANF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();