First Interstate Bancsystem (FIBK) Return on Sales [ROS] (2009 - 2026)
First Interstate Bancsystem (FIBK) recorded Return on Sales [ROS] of 59.40% in Q3 2026, down 11.58 percentage points from 70.98% a year earlier and down 7.52 percentage points from the prior quarter.
First Interstate Bancsystem (FIBK) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
On a TTM basis, First Interstate Bancsystem's Return on Sales [ROS] came in at 64.68% as of Sep 30, 2026, down 5.27 percentage points year-over-year; for FY2025, it was 70.30%, down 7.27 percentage points from FY2024.
- Annual Return on Sales [ROS] has a five-year change of +34.21 percentage points (FY2020 to FY2025).
- Across earlier years, Return on Sales [ROS] came in at 77.56% in FY2024 (+5.61 pp), 71.95% in FY2023 (+41.57 pp), 30.39% in FY2022 (-11.12 pp) and 41.51% in FY2021 (+5.42 pp).
- The Q3 2026 figure is the lowest quarterly Return on Sales [ROS] since Q1 2023.
- On a year-over-year basis, Return on Sales [ROS] has declined for three consecutive quarters, with an average year-over-year change of -7.97 percentage points over the last eight quarters.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 74.80 percentage points in Q1 2023, against a drop of 59.68 percentage points in Q1 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at 66.92% (Q2 2026), 61.25% (Q1 2026) and 69.65% (Q4 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 | First Interstate Bancsystem | 3.55 Bn | -1.38 Bn | - | 59.40% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 59.40% |
| Jun 30, 2026 | 66.92% |
| Mar 31, 2026 | 61.25% |
| Dec 31, 2025 | 69.65% |
| Sep 30, 2025 | 70.98% |
| Jun 30, 2025 | 74.02% |
| Mar 31, 2025 | 66.68% |
| Dec 31, 2024 | 68.20% |
| Sep 30, 2024 | 77.49% |
| Jun 30, 2024 | 82.15% |
| Mar 31, 2024 | 83.11% |
| Dec 31, 2023 | 78.24% |
| Sep 30, 2023 | 79.62% |
| Jun 30, 2023 | 70.78% |
| Mar 31, 2023 | 59.26% |
| Dec 31, 2022 | 51.87% |
| Sep 30, 2022 | 44.18% |
| Jun 30, 2022 | 30.36% |
| Mar 31, 2022 | -15.54% |
| Dec 31, 2021 | 46.91% |
First Interstate Bancsystem 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=FIBK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "FIBK", "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=FIBK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();