Financial Institutions (FISI) Return on Sales [ROS] (2010 - 2026)
Financial Institutions (FISI) reported Return on Sales [ROS] of 86.01% for Q2 2026, down 1841247.32 percentage points from 1841333.33% a year earlier and down 0.80 percentage points from the prior quarter.
Financial Institutions (FISI) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Financial Institutions' Return on Sales [ROS] came in at 176.42%, down 691881.92 percentage points year-over-year; for FY2025, it was 2039609.09%, up 2035808.06 percentage points from FY2024.
- Return on Sales [ROS] has increased for three consecutive years, with a five-year change of +2038063.85 percentage points (FY2020 to FY2025).
- By year, Return on Sales [ROS] came in at 3801.03% in FY2024 (+1065.92 pp), 2735.11% in FY2023 (+1168.40 pp), 1566.70% in FY2022 (-341.07 pp) and 1907.77% in FY2021 (+362.53 pp).
- The Q2 2026 figure ranks as the lowest quarterly Return on Sales [ROS] since Q4 2024.
- Year over year, Return on Sales [ROS] gained in five of the last eight quarters, with an average year-over-year change of +384163.84 percentage points.
- The high point for year-over-year Return on Sales [ROS] in five years was Q4 2025 (a gain of 4507233.33 percentage points); the low point was Q4 2024 (a drop of 2629261.53 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at 86.81% (Q1 2026), 1881166.67% (Q4 2025) and 2893550.00% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 881.30 Bn | 881.30 Bn | - | 91.77% |
| 2 | Bank Of America | 354.90 Bn | -2,021.17 Bn | - | 93.16% |
| 3 | Hsbc Holdings | 311.39 Bn | -1,517.77 Bn | - | 46.36% |
| 4 | Morgan Stanley | 282.15 Bn | -226.95 Bn | - | 95.89% |
| 5 | Royal Bank Of Canada | 281.68 Bn | -548.32 Bn | - | 138.04% |
| 6 | Goldman Sachs | 255.22 Bn | -3,301.89 Bn | - | 131.07% |
| 7 | Mitsubishi Ufj Financial | 249.82 Bn | -82.42 Bn | 10.89 Bn | 51.45% |
| 8 | Wells Fargo & Company | 249.49 Bn | 251.62 Bn | - | 84.05% |
| 9 | Toronto Dominion Bank | 210.53 Bn | -465.35 Bn | - | 6.25% |
| 10 | Financial Institutions | 799.68 Mn | 320.36 Mn | - | 86.01% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 86.01% |
| Mar 31, 2026 | 86.81% |
| Dec 31, 2025 | 88.01% |
| Sep 30, 2025 | 90.64% |
| Jun 30, 2025 | 92.47% |
| Mar 31, 2025 | 95.76% |
| Dec 31, 2024 | 69.71% |
| Sep 30, 2024 | 103.31% |
| Jun 30, 2024 | 103.89% |
| Mar 31, 2024 | 79.94% |
| Dec 31, 2023 | 93.38% |
| Sep 30, 2023 | 94.87% |
| Jun 30, 2023 | 84.70% |
| Mar 31, 2023 | 69.82% |
| Dec 31, 2022 | 53.83% |
| Sep 30, 2022 | 47.00% |
| Jun 30, 2022 | 43.78% |
| Mar 31, 2022 | 41.70% |
| Dec 31, 2021 | 50.86% |
| Sep 30, 2021 | 49.02% |
Financial Institutions 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=FISI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "FISI", "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=FISI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();