Northrim Bancorp (NRIM) Retained Earnings (2009 - 2026)
Northrim Bancorp (NRIM) recorded Retained Earnings of $331.39 million in Q2 2026, up 19.5% from $277.26 million a year earlier and up 3.7% from the prior quarter.
Northrim Bancorp (NRIM) Retained Earnings (2009 - 2026) Analysis & Trends
At the end of FY2025, Northrim Bancorp reported Retained Earnings of $309.58 million, up 19.4% from FY2024.
- Annual Retained Earnings has increased for 15 straight years, with a five-year compound annual growth rate of 12.3% (FY2020 to FY2025).
- Across earlier years, Retained Earnings came in at $259.31 million in FY2024 (+9.9%), $236.04 million in FY2023 (+5.3%), $224.23 million in FY2022 (+9.9%) and $204.05 million in FY2021 (+17.6%).
- The Q2 2026 figure is the highest quarterly Retained Earnings in data going back to Q2 2010.
- On a year-over-year basis, Retained Earnings has increased for 61 consecutive quarters, with growth averaging 14.9% over the last eight quarters.
- Across the past five years, year-over-year growth in Retained Earnings ran from 5.3% in Q4 2023 to 19.7% in Q3 2021.
- Per Business Quant, the preceding three quarters came in at $319.66 million (Q1 2026), $309.58 million (Q4 2025) and $300.73 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 455.59 Bn |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | 735.16 Mn |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 278.81 Bn |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | - |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | 125.72 Bn |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | 73.85 Bn |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 177.98 Bn |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 241.40 Bn |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | 101.18 Bn |
| 10 | Northrim Bancorp | 531.65 Mn | 473.82 Mn | 51.93 Mn | 341.97 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 341.97 Mn |
| Jun 30, 2026 | 331.39 Mn |
| Mar 31, 2026 | 319.66 Mn |
| Dec 31, 2025 | 309.58 Mn |
| Sep 30, 2025 | 300.73 Mn |
| Jun 30, 2025 | 277.26 Mn |
| Mar 31, 2025 | 269.06 Mn |
| Dec 31, 2024 | 259.31 Mn |
| Sep 30, 2024 | 251.84 Mn |
| Jun 30, 2024 | 246.48 Mn |
| Mar 31, 2024 | 240.85 Mn |
| Dec 31, 2023 | 236.04 Mn |
| Sep 30, 2023 | 232.75 Mn |
| Jun 30, 2023 | 227.76 Mn |
| Mar 31, 2023 | 225.61 Mn |
| Dec 31, 2022 | 224.23 Mn |
| Sep 30, 2022 | 218.50 Mn |
| Jun 30, 2022 | 211.23 Mn |
| Mar 31, 2022 | 208.80 Mn |
| Dec 31, 2021 | 204.05 Mn |
Northrim Bancorp Retained Earnings 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=retained-earnings&ticker=NRIM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "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=retained-earnings&ticker=NRIM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();