First Interstate Bancsystem (FIBK) Return on Sales [ROS] (2010 - 2026)
First Interstate Bancsystem (FIBK) recorded Return on Sales [ROS] of 66.92% in Q2 2026, down 7.10 percentage points from 74.02% a year earlier but up 5.67 percentage points from the prior quarter.
First Interstate Bancsystem (FIBK) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
On a TTM basis, First Interstate Bancsystem's Return on Sales [ROS] came in at 67.39% as of Jun 30, 2026, down 4.19 percentage points year-over-year; for FY2025, it was 180.70%, down 117.88 percentage points from FY2024.
- Annual Return on Sales [ROS] has a five-year change of +32.15 percentage points (FY2020 to FY2025).
- Across earlier years, Return on Sales [ROS] came in at 298.58% in FY2024 (+119.47 pp), 179.11% in FY2023 (+97.57 pp), 81.53% in FY2022 (-50.16 pp) and 131.69% in FY2021 (-16.86 pp).
- Quarterly Return on Sales [ROS] has ranged from -131.72% in Q1 2022 to 360.56% in Q3 2021 over the past five years.
- On a year-over-year basis, Return on Sales [ROS] rose in 1 of the last eight quarters, with an average year-over-year change of -6.79 percentage points.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 190.98 percentage points in Q1 2023, against a drop of 567.12 percentage points in Q1 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at 61.25% (Q1 2026), 69.65% (Q4 2025) and 70.98% (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 | First Interstate Bancsystem | 3.44 Bn | 3.44 Bn | - | 66.92% |
Historic Data
| Date | Value |
|---|---|
| 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 | 298.30% |
| Mar 31, 2022 | -131.72% |
| Dec 31, 2021 | 46.91% |
| Sep 30, 2021 | 360.56% |
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();