Northrim Bancorp (NRIM) Revenue (2009 - 2026)
Northrim Bancorp (NRIM) recorded Revenue of $53.87 million in Q2 2026, up 7.2% from $50.23 million a year earlier and up 8.7% from the prior quarter.
Northrim Bancorp (NRIM) Revenue (2009 - 2026) Analysis & Trends
On a TTM basis, Northrim Bancorp's Revenue came in at $221.66 million as of Jun 30, 2026, up 23.9% year-over-year; for FY2025, it was $212.81 million, up 37.1% from FY2024.
- Annual Revenue has increased for three straight years, with a five-year compound annual growth rate of 9.7% (FY2020 to FY2025).
- Across earlier years, Revenue came in at $155.22 million in FY2024 (+19.7%), $129.63 million in FY2023 (+0.3%), $129.19 million in FY2022 (-2.9%) and $133.09 million in FY2021 (-0.7%).
- Quarterly Revenue has ranged from $29.94 million in Q1 2023 to $66.59 million in Q3 2025 over the past five years.
- On a year-over-year basis, Revenue has increased for ten consecutive quarters, with growth averaging 27.2% over the last eight quarters.
- Peak year-over-year performance for Revenue in the last five years was growth of 64.7% in Q3 2025, against a decline of 17.1% in Q3 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $49.54 million (Q1 2026), $51.66 million (Q4 2025) and $66.59 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 50.17 Bn |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 29.96 Bn |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | 18.62 Bn |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | 20.34 Bn |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | 13.30 Bn |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 18.68 Bn |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 21.87 Bn |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | 9.94 Bn |
| 10 | Northrim Bancorp | 531.65 Mn | 473.82 Mn | 51.93 Mn | 59.65 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 59.65 Mn |
| Jun 30, 2026 | 53.87 Mn |
| Mar 31, 2026 | 49.54 Mn |
| Dec 31, 2025 | 51.66 Mn |
| Sep 30, 2025 | 66.59 Mn |
| Jun 30, 2025 | 50.23 Mn |
| Mar 31, 2025 | 44.34 Mn |
| Dec 31, 2024 | 43.87 Mn |
| Sep 30, 2024 | 40.43 Mn |
| Jun 30, 2024 | 36.63 Mn |
| Mar 31, 2024 | 34.29 Mn |
| Dec 31, 2023 | 33.22 Mn |
| Sep 30, 2023 | 34.35 Mn |
| Jun 30, 2023 | 32.12 Mn |
| Mar 31, 2023 | 29.94 Mn |
| Dec 31, 2022 | 34.06 Mn |
| Sep 30, 2022 | 34.98 Mn |
| Jun 30, 2022 | 30.02 Mn |
| Mar 31, 2022 | 30.13 Mn |
| Dec 31, 2021 | 31.29 Mn |
Northrim Bancorp Revenue 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=revenue&ticker=NRIM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=NRIM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();