Franklin Financial Services (FRAF) Return on Sales [ROS] (2009 - 2026)
Franklin Financial Services' Return on Sales [ROS] was 72.80% in Q2 2026, down 10.81 percentage points from 83.61% a year earlier and down 0.72 percentage points from the prior quarter.
Franklin Financial Services (FRAF) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Franklin Financial Services' Return on Sales [ROS] was 75.44% through Jun 30, 2026, down 6.94 percentage points year-over-year; for FY2025, it came in at 79.93%, down 0.49 percentage points from FY2024.
- Return on Sales [ROS] shows a five-year change of +50.06 percentage points (FY2020 to FY2025).
- In earlier years, Return on Sales [ROS] was 80.42% in FY2024 (+23.65 pp), 56.77% in FY2023 (+23.31 pp), 33.45% in FY2022 (-6.94 pp) and 40.39% in FY2021 (+10.53 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 +2.20 percentage points over the last eight quarters.
- The best year-over-year quarter for Return on Sales [ROS] over five years was Q1 2024 (a gain of 35.18 percentage points); the worst was Q2 2022 (a drop of 15.38 percentage points).
- Per Business Quant data, FRAF's Return on Sales [ROS] in the three quarters before Q2 2026 was 73.51% (Q1 2026), 76.83% (Q4 2025) and 78.86% (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 | Franklin Financial Services | 315.86 Mn | -401.27 Mn | - | 79.06% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 79.06% |
| Jun 30, 2026 | 72.80% |
| Mar 31, 2026 | 73.51% |
| Dec 31, 2025 | 76.83% |
| Sep 30, 2025 | 78.86% |
| Jun 30, 2025 | 83.61% |
| Mar 31, 2025 | 80.64% |
| Dec 31, 2024 | 80.02% |
| Sep 30, 2024 | 84.61% |
| Jun 30, 2024 | 76.50% |
| Mar 31, 2024 | 80.38% |
| Dec 31, 2023 | 64.86% |
| Sep 30, 2023 | 62.61% |
| Jun 30, 2023 | 52.98% |
| Mar 31, 2023 | 45.20% |
| Dec 31, 2022 | 37.12% |
| Sep 30, 2022 | 36.70% |
| Jun 30, 2022 | 30.47% |
| Mar 31, 2022 | 28.26% |
| Dec 31, 2021 | 30.89% |
Franklin Financial Services 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=FRAF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "FRAF", "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=FRAF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();