First United (FUNC) Change in Net Loans (2010 - 2026)
First United's Change in Net Loans was $38.04 million in Q2 2026, up 68.0% from $22.64 million a year earlier and up 881.3% from the prior quarter.
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Analysis
First United (FUNC) Change in Net Loans (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, First United's Change in Net Loans was $61.87 million through Jun 30, 2026, down 25.5% year-over-year; for FY2025, it was $41.98 million, down 46.9% from FY2024.
- Change in Net Loans shows a five-year compound annual growth rate of -19.3% (FY2020 to FY2025).
- In earlier years, Change in Net Loans was $79.11 million in FY2024 (-38.2%), $128.06 million in FY2023 (+1.1%), $126.71 million in FY2022 and -$85.96 million in FY2021.
- The Q2 2026 figure marks the highest quarterly Change in Net Loans since Q2 2023.
- Compared with a year earlier, Change in Net Loans was higher in three of the last five quarters, with growth averaging 28.7%.
- The best year-over-year quarter for Change in Net Loans over five years was Q2 2025 (growth of 88.8%); the worst was Q2 2024 (a decline of 80.5%).
- Per Business Quant data, FUNC's Change in Net Loans in the three quarters before Q2 2026 was $3.88 million (Q1 2026), $24.79 million (Q4 2025) and -$4.84 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change in Net Loans (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 918.91 Bn | 918.91 Bn | - | 56.27 Bn |
| 2 | Banco Santander Chile | 870.35 Bn | 846.93 Bn | - | - |
| 3 | Bank Of America | 358.55 Bn | -2,017.56 Bn | - | - |
| 4 | Hsbc Holdings | 315.74 Bn | -668.95 Bn | - | - |
| 5 | Morgan Stanley | 290.88 Bn | -253.14 Bn | - | 8.09 Bn |
| 6 | Royal Bank Of Canada | 287.92 Bn | 137.98 Bn | - | - |
| 7 | Goldman Sachs | 270.57 Bn | -3,472.88 Bn | - | 14.56 Bn |
| 8 | Wells Fargo & Company | 258.79 Bn | 258.79 Bn | - | 20.45 Bn |
| 9 | Mitsubishi Ufj Financial | 247.94 Bn | 129.81 Bn | - | - |
| 10 | First United | 299.30 Mn | -82.22 Mn | - | 23.93 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 23.93 Mn |
| Jun 30, 2026 | 38.04 Mn |
| Mar 31, 2026 | 3.88 Mn |
| Dec 31, 2025 | 24.79 Mn |
| Sep 30, 2025 | -4.84 Mn |
| Jun 30, 2025 | 22.64 Mn |
| Mar 31, 2025 | -607,000.00 |
| Dec 31, 2024 | 36.07 Mn |
| Sep 30, 2024 | 24.94 Mn |
| Jun 30, 2024 | 11.99 Mn |
| Mar 31, 2024 | 6.10 Mn |
| Dec 31, 2023 | 26.74 Mn |
| Sep 30, 2023 | 30.08 Mn |
| Jun 30, 2023 | 61.48 Mn |
| Mar 31, 2023 | 9.76 Mn |
| Dec 31, 2022 | 1.74 Mn |
| Sep 30, 2022 | 44.51 Mn |
| Jun 30, 2022 | 52.42 Mn |
| Mar 31, 2022 | 28.03 Mn |
| Dec 31, 2021 | -18.05 Mn |
API Access
First United Change in Net Loans 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=change-in-net-loans&ticker=FUNC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-net-loans", "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=change-in-net-loans&ticker=FUNC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();