First United (FUNC) Retained Earnings (2010 - 2026)
First United's Retained Earnings came in at $221.64 million for Q3 2026, up 9.1% from $203.2 million a year earlier and up 2.5% from the prior quarter.
First United (FUNC) Retained Earnings (2010 - 2026) Analysis & Trends
At the end of FY2025, First United's Retained Earnings was $207.28 million, up 9.7% from FY2024.
- Retained Earnings has increased in each of the last 15 years, with a five-year compound annual growth rate of 9.8% (FY2020 to FY2025).
- Going back by year, Retained Earnings was $189 million in FY2024 (+8.7%), $173.9 million in FY2023 (+4.5%), $166.34 million in FY2022 (+14.3%) and $145.49 million in FY2021 (+12.2%).
- The Q3 2026 figure represents the highest quarterly Retained Earnings in data going back to Q4 2010.
- Year-over-year, Retained Earnings has increased for 57 consecutive quarters, with growth averaging 9.6% over the last eight quarters.
- Across the past five years, year-over-year growth in Retained Earnings ran from 4.5% in Q4 2023 to 15.6% in Q3 2022.
- Business Quant data shows FUNC's Retained Earnings at $216.26 million (Q2 2026), $212.26 million (Q1 2026) and $207.28 million (Q4 2025) in the three quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 918.91 Bn | 918.91 Bn | - | 455.59 Bn |
| 2 | Banco Santander Chile | 870.35 Bn | 846.93 Bn | - | 735.16 Mn |
| 3 | Bank Of America | 358.55 Bn | -2,017.56 Bn | - | 278.81 Bn |
| 4 | Hsbc Holdings | 315.74 Bn | -668.95 Bn | - | 167.59 Bn |
| 5 | Morgan Stanley | 290.88 Bn | -253.14 Bn | - | 125.72 Bn |
| 6 | Royal Bank Of Canada | 287.92 Bn | 137.98 Bn | - | 73.85 Bn |
| 7 | Goldman Sachs | 270.57 Bn | -3,472.88 Bn | - | 177.98 Bn |
| 8 | Wells Fargo & Company | 258.79 Bn | 258.79 Bn | - | 241.40 Bn |
| 9 | Mitsubishi Ufj Financial | 247.94 Bn | 129.81 Bn | - | 66.96 Bn |
| 10 | First United | 299.30 Mn | -82.22 Mn | - | 221.64 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 221.64 Mn |
| Jun 30, 2026 | 216.26 Mn |
| Mar 31, 2026 | 212.26 Mn |
| Dec 31, 2025 | 207.28 Mn |
| Sep 30, 2025 | 203.20 Mn |
| Jun 30, 2025 | 197.94 Mn |
| Mar 31, 2025 | 193.38 Mn |
| Dec 31, 2024 | 189.00 Mn |
| Sep 30, 2024 | 184.24 Mn |
| Jun 30, 2024 | 179.89 Mn |
| Mar 31, 2024 | 176.27 Mn |
| Dec 31, 2023 | 173.90 Mn |
| Sep 30, 2023 | 173.47 Mn |
| Jun 30, 2023 | 170.30 Mn |
| Mar 31, 2023 | 167.23 Mn |
| Dec 31, 2022 | 166.34 Mn |
| Sep 30, 2022 | 160.57 Mn |
| Jun 30, 2022 | 154.64 Mn |
| Mar 31, 2022 | 150.21 Mn |
| Dec 31, 2021 | 145.49 Mn |
First United 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=FUNC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "ticker": "FUNC", "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=FUNC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();