Northrim Bancorp (NRIM) Operating Expenses (2009 - 2026)
Northrim Bancorp (NRIM) posted Operating Expenses of $33.18 million for Q3 2026, up 9.5% from $30.3 million a year earlier and up 3.6% from the prior quarter.
Northrim Bancorp (NRIM) Operating Expenses (2009 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Operating Expenses at Northrim Bancorp was $129.25 million, up 7.4% year-over-year; for FY2025, it came in at $124.38 million, up 18.5% from FY2024.
- Annual Operating Expenses has increased for three consecutive years, with a five-year compound annual growth rate of 6.9% (FY2020 to FY2025).
- In prior years, Northrim Bancorp's Operating Expenses was $104.94 million in FY2024 (+11.4%), $94.18 million in FY2023 (+6.0%), $88.85 million in FY2022 (-0.4%) and $89.2 million in FY2021 (+0.1%).
- Quarterly Operating Expenses has run from a low of $21.1 million in Q1 2022 to a high of $33.42 million in Q4 2025 over five years.
- On a year-over-year basis, Operating Expenses increased in seven of the last eight quarters, with growth averaging 14.3%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q2 2025, with growth of 29.0%; the weakest was Q4 2021, with a decline of 4.8%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $32.02 million (Q2 2026), $30.62 million (Q1 2026) and $33.42 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 27.30 Bn |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 19.72 Bn |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | 8.82 Bn |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | 13.71 Bn |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | 7.02 Bn |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 11.31 Bn |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 13.74 Bn |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | 17.50 Bn |
| 10 | Northrim Bancorp | 531.65 Mn | 473.82 Mn | 51.93 Mn | 33.18 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 33.18 Mn |
| Jun 30, 2026 | 32.02 Mn |
| Mar 31, 2026 | 30.62 Mn |
| Dec 31, 2025 | 33.42 Mn |
| Sep 30, 2025 | 30.30 Mn |
| Jun 30, 2025 | 32.49 Mn |
| Mar 31, 2025 | 28.17 Mn |
| Dec 31, 2024 | 29.38 Mn |
| Sep 30, 2024 | 26.73 Mn |
| Jun 30, 2024 | 25.19 Mn |
| Mar 31, 2024 | 23.64 Mn |
| Dec 31, 2023 | 23.99 Mn |
| Sep 30, 2023 | 22.90 Mn |
| Jun 30, 2023 | 23.78 Mn |
| Mar 31, 2023 | 23.51 Mn |
| Dec 31, 2022 | 22.23 Mn |
| Sep 30, 2022 | 22.29 Mn |
| Jun 30, 2022 | 23.24 Mn |
| Mar 31, 2022 | 21.10 Mn |
| Dec 31, 2021 | 23.00 Mn |
Northrim Bancorp 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=NRIM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "NRIM", "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=NRIM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();