First Interstate Bancsystem (FIBK) Operating Expenses (2010 - 2026)
First Interstate Bancsystem's Operating Expenses was $158.9 million in Q2 2026, up 2.5% from $155.1 million a year earlier and up 0.8% from the prior quarter.
First Interstate Bancsystem (FIBK) Operating Expenses (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, First Interstate Bancsystem's Operating Expenses was $641.1 million through Jun 30, 2026, up 0.8% year-over-year; for FY2025, it came in at $640.3 million, up 0.5% from FY2024.
- Operating Expenses shows a five-year compound annual growth rate of 10.6% (FY2020 to FY2025).
- In earlier years, Operating Expenses was $637.4 million in FY2024 (-3.0%), $656.8 million in FY2023 (-14.3%), $766 million in FY2022 (+88.9%) and $405.5 million in FY2021 (+4.6%).
- Quarterly Operating Expenses has moved between $102.2 million (Q4 2021) and $210.3 million (Q2 2022) over five years.
- Compared with a year earlier, Operating Expenses was higher in three of the last eight quarters, with an average decline of 0.2%.
- The best year-over-year quarter for Operating Expenses over five years was Q2 2022 (growth of 112.4%); the worst was Q2 2023 (a decline of 22.1%).
- Per Business Quant data, FIBK's Operating Expenses in the three quarters before Q2 2026 was $157.6 million (Q1 2026), $166.7 million (Q4 2025) and $157.9 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 890.60 Bn | 920.07 Bn | - | 27.32 Bn |
| 2 | Banco Santander Chile | 421.74 Bn | 541.68 Bn | - | -3,218.32 Bn |
| 3 | Bank Of America | 385.85 Bn | -1,990.22 Bn | - | 18.63 Bn |
| 4 | Hsbc Holdings | 345.94 Bn | 345.99 Bn | - | - |
| 5 | Morgan Stanley | 303.15 Bn | -205.95 Bn | - | 13.90 Bn |
| 6 | Royal Bank Of Canada | 279.82 Bn | 130.57 Bn | - | 7.02 Bn |
| 7 | Mitsubishi Ufj Financial | 274.62 Bn | -1,313.87 Bn | 10.89 Bn | 17.50 Bn |
| 8 | Goldman Sachs | 267.07 Bn | -3,290.04 Bn | - | 11.67 Bn |
| 9 | Wells Fargo & Company | 243.79 Bn | 245.93 Bn | - | 13.66 Bn |
| 10 | First Interstate Bancsystem | 3.44 Bn | 3.44 Bn | - | 158.90 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 158.90 Mn |
| Mar 31, 2026 | 157.60 Mn |
| Dec 31, 2025 | 166.70 Mn |
| Sep 30, 2025 | 157.90 Mn |
| Jun 30, 2025 | 155.10 Mn |
| Mar 31, 2025 | 160.60 Mn |
| Dec 31, 2024 | 160.90 Mn |
| Sep 30, 2024 | 159.40 Mn |
| Jun 30, 2024 | 156.90 Mn |
| Mar 31, 2024 | 160.20 Mn |
| Dec 31, 2023 | 166.00 Mn |
| Sep 30, 2023 | 161.10 Mn |
| Jun 30, 2023 | 163.90 Mn |
| Mar 31, 2023 | 165.80 Mn |
| Dec 31, 2022 | 175.30 Mn |
| Sep 30, 2022 | 173.20 Mn |
| Jun 30, 2022 | 210.30 Mn |
| Mar 31, 2022 | 207.20 Mn |
| Dec 31, 2021 | 102.20 Mn |
| Sep 30, 2021 | 105.90 Mn |
First Interstate Bancsystem Operating Expenses 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=operating-expenses&ticker=FIBK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=FIBK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();