First Bancorp (FBNC) Retained Earnings (2009 - 2026)
First Bancorp's Retained Earnings was $948.32 million in Q3 2026, up 15.2% from $823.48 million a year earlier and up 4.6% from the prior quarter.
First Bancorp (FBNC) Retained Earnings (2009 - 2026) Analysis & Trends
At the end of FY2025, Retained Earnings at First Bancorp came in at $829.66 million, up 9.7% from FY2024.
- Retained Earnings has now increased for seven consecutive years, with a five-year compound annual growth rate of 11.6% (FY2020 to FY2025).
- In earlier years, Retained Earnings was $756.33 million in FY2024 (+5.6%), $716.42 million in FY2023 (+10.5%), $648.42 million in FY2022 (+21.7%) and $532.87 million in FY2021 (+11.4%).
- The Q3 2026 figure marks the highest quarterly Retained Earnings in data going back to Q2 2010.
- Compared with a year earlier, Retained Earnings has increased for 26 straight quarters, with growth averaging 9.5% over the last eight quarters.
- Across the past five years, year-over-year growth in Retained Earnings ran from 5.6% in Q4 2024 to 21.7% in Q4 2022.
- Per Business Quant data, FBNC's Retained Earnings in the three quarters before Q3 2026 was $906.98 million (Q2 2026), $866.39 million (Q1 2026) and $829.66 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 | 2.68 Bn | 773.46 Mn | - | 948.32 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 948.32 Mn |
| Jun 30, 2026 | 906.98 Mn |
| Mar 31, 2026 | 866.39 Mn |
| Dec 31, 2025 | 829.66 Mn |
| Sep 30, 2025 | 823.48 Mn |
| Jun 30, 2025 | 812.66 Mn |
| Mar 31, 2025 | 783.63 Mn |
| Dec 31, 2024 | 756.33 Mn |
| Sep 30, 2024 | 761.88 Mn |
| Jun 30, 2024 | 752.29 Mn |
| Mar 31, 2024 | 732.64 Mn |
| Dec 31, 2023 | 716.42 Mn |
| Sep 30, 2023 | 695.79 Mn |
| Jun 30, 2023 | 674.93 Mn |
| Mar 31, 2023 | 654.57 Mn |
| Dec 31, 2022 | 648.42 Mn |
| Sep 30, 2022 | 617.84 Mn |
| Jun 30, 2022 | 587.74 Mn |
| Mar 31, 2022 | 559.00 Mn |
| Dec 31, 2021 | 532.87 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=FBNC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "ticker": "FBNC", "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=FBNC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();