Isabella Bank (ISBA) Return on Sales [ROS] (2010 - 2026)
Isabella Bank (ISBA) posted Return on Sales [ROS] of 63.72% for Q2 2026, down 12.19 percentage points from 75.91% a year earlier and down 3.24 percentage points from the prior quarter.
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Analysis
Isabella Bank (ISBA) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Return on Sales [ROS] at Isabella Bank was 69.01%, down 3.70 percentage points year-over-year; for FY2025, it came in at 73.38%, up 1.60 percentage points from FY2024.
- Annual Return on Sales [ROS] has increased for three consecutive years, with a five-year change of +33.71 percentage points (FY2020 to FY2025).
- In prior years, Isabella Bank's Return on Sales [ROS] was 71.78% in FY2024 (+11.14 pp), 60.64% in FY2023 (+17.26 pp), 43.37% in FY2022 (-2.86 pp) and 46.24% in FY2021 (+6.56 pp).
- The Q2 2026 figure stands as the lowest quarterly Return on Sales [ROS] since Q2 2023.
- On a year-over-year basis, Return on Sales [ROS] increased in six of the last eight quarters, with an average year-over-year change of -0.33 percentage points.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was Q4 2021, with a gain of 33.94 percentage points; the weakest was Q2 2026, with a drop of 12.19 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior quarters was 66.96% (Q1 2026), 72.58% (Q4 2025) and 73.26% (Q3 2025).
Peer Set
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 | Isabella Bank | 295.16 Mn | 15.94 Mn | - | 63.72% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 63.72% |
| Mar 31, 2026 | 66.96% |
| Dec 31, 2025 | 72.58% |
| Sep 30, 2025 | 73.26% |
| Jun 30, 2025 | 75.91% |
| Mar 31, 2025 | 71.84% |
| Dec 31, 2024 | 72.52% |
| Sep 30, 2024 | 70.47% |
| Jun 30, 2024 | 73.62% |
| Mar 31, 2024 | 70.50% |
| Dec 31, 2023 | 69.90% |
| Sep 30, 2023 | 65.10% |
| Jun 30, 2023 | 56.69% |
| Mar 31, 2023 | 51.75% |
| Dec 31, 2022 | 47.70% |
| Sep 30, 2022 | 43.75% |
| Jun 30, 2022 | 40.77% |
| Mar 31, 2022 | 40.83% |
| Dec 31, 2021 | 43.15% |
| Sep 30, 2021 | 44.55% |
API Access
Isabella Bank 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=ISBA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "ISBA", "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=ISBA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();