Franklin Financial Services (FRAF) Return on Sales [ROS] (2012 - 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] (2012 - 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 -1948.17 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 (-8751.63 pp) and 8785.08% in FY2021 (+6756.99 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 Q3 2021 (a gain of 3327.59 percentage points); the worst was Q4 2021 (a drop of 18932.24 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 | 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 | Franklin Financial Services | 283.82 Mn | -437.85 Mn | - | 72.80% |
Historic Data
| Date | Value |
|---|---|
| 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 | 3,339.19% |
| Sep 30, 2021 | 5,102.04% |
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();