First Bancorp (FNLC) Retained Earnings (2009 - 2026)
First Bancorp (FNLC) posted Retained Earnings of $256.61 million for Q3 2026, up 9.5% from $234.44 million a year earlier and up 2.5% from the prior quarter.
First Bancorp (FNLC) Retained Earnings (2009 - 2026) Analysis & Trends
At the end of FY2025, First Bancorp's Retained Earnings came in at $240.46 million, up 7.9% from FY2024.
- Annual Retained Earnings has increased for 16 consecutive years, with a five-year compound annual growth rate of 8.7% (FY2020 to FY2025).
- In prior years, First Bancorp's Retained Earnings was $222.82 million in FY2024 (+5.1%), $211.93 million in FY2023 (+3.7%), $204.34 million in FY2022 (+13.3%) and $180.42 million in FY2021 (+13.9%).
- The Q3 2026 figure stands as the highest quarterly Retained Earnings in data going back to Q4 2009.
- On a year-over-year basis, Retained Earnings has increased in each of the last 64 quarters, with growth averaging 7.3% over the last eight quarters.
- Across the past five years, year-over-year growth in Retained Earnings ran from 3.7% in Q4 2023 to 14.1% in Q3 2022.
- According to Business Quant data, Retained Earnings for the three prior quarters was $250.25 million (Q2 2026), $245 million (Q1 2026) and $240.46 million (Q4 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 | First Bancorp | 417.68 Mn | 304.42 Mn | - | 256.61 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 256.61 Mn |
| Jun 30, 2026 | 250.25 Mn |
| Mar 31, 2026 | 245.00 Mn |
| Dec 31, 2025 | 240.46 Mn |
| Sep 30, 2025 | 234.44 Mn |
| Jun 30, 2025 | 229.51 Mn |
| Mar 31, 2025 | 225.59 Mn |
| Dec 31, 2024 | 222.82 Mn |
| Sep 30, 2024 | 219.56 Mn |
| Jun 30, 2024 | 216.00 Mn |
| Mar 31, 2024 | 213.84 Mn |
| Dec 31, 2023 | 211.93 Mn |
| Sep 30, 2023 | 209.13 Mn |
| Jun 30, 2023 | 205.54 Mn |
| Mar 31, 2023 | 202.04 Mn |
| Dec 31, 2022 | 204.34 Mn |
| Sep 30, 2022 | 198.90 Mn |
| Jun 30, 2022 | 192.57 Mn |
| Mar 31, 2022 | 186.32 Mn |
| Dec 31, 2021 | 180.42 Mn |
First 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=FNLC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "ticker": "FNLC", "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=FNLC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();