First United Corp/Md/ (FUNC) Loans - Gross (2010 - 2026)
First United (FUNC) recorded Loans - Gross of $1.57 billion in Q2 2026, up 4.6% from $1.5 billion a year earlier and up 3.1% from the prior quarter.
Analysis
First United Corp/Md/ (FUNC) Loans - Gross (2010 - 2026) Analysis & Trends
At the end of FY2025, First United reported Loans - Gross of $1.52 billion, up 2.8% from FY2024.
- Annual Loans - Gross has increased for four straight years, with a five-year compound annual growth rate of 5.4% (FY2020 to FY2025).
- Across earlier years, Loans - Gross came in at $1.48 billion in FY2024 (+5.3%), $1.41 billion in FY2023 (+9.9%), $1.28 billion in FY2022 (+10.9%) and $1.15 billion in FY2021 (-1.2%).
- The Q2 2026 figure is the highest quarterly Loans - Gross in data going back to Q4 2010.
- On a year-over-year basis, Loans - Gross has increased for 17 consecutive quarters, with growth averaging 4.3% over the last eight quarters.
- Peak year-over-year performance for Loans - Gross in the last five years was growth of 10.9% in Q4 2022, against a decline of 2.6% in Q3 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $1.53 billion (Q1 2026), $1.52 billion (Q4 2025) and $1.5 billion (Q3 2025).
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.57 Bn |
| Mar 31, 2026 | 1.53 Bn |
| Dec 31, 2025 | 1.52 Bn |
| Sep 30, 2025 | 1.50 Bn |
| Jun 30, 2025 | 1.50 Bn |
| Mar 31, 2025 | 1.48 Bn |
| Dec 31, 2024 | 1.48 Bn |
| Sep 30, 2024 | 1.45 Bn |
| Jun 30, 2024 | 1.42 Bn |
| Mar 31, 2024 | 1.41 Bn |
| Dec 31, 2023 | 1.41 Bn |
| Sep 30, 2023 | 1.38 Bn |
| Jun 30, 2023 | 1.35 Bn |
| Mar 31, 2023 | 1.29 Bn |
| Dec 31, 2022 | 1.28 Bn |
| Sep 30, 2022 | 1.28 Bn |
| Jun 30, 2022 | 1.23 Bn |
| Mar 31, 2022 | 1.18 Bn |
| Dec 31, 2021 | 1.15 Bn |
| Sep 30, 2021 | 1.16 Bn |
API Access
First United Corp/Md/ Loans - Gross 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=loans-gross&ticker=FUNC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "loans-gross", "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=loans-gross&ticker=FUNC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();