First Community (FCCO) Change in Net Loans (2010 - 2026)
First Community (FCCO) reported Change in Net Loans of $42.26 million for Q1 2026, up 34.5% from $31.43 million a year earlier and up 33.1% from the prior quarter.
First Community (FCCO) Change in Net Loans (2010 - 2026) Analysis & Trends
Over the twelve months ended Mar 31, 2026, First Community's Change in Net Loans came in at $101.36 million, up 7.0% year-over-year; for FY2025, it came in at $90.53 million, up 4.6% from FY2024.
- Change in Net Loans has a five-year compound annual growth rate of -3.3% (FY2020 to FY2025).
- By year, Change in Net Loans came in at $86.59 million in FY2024 (-43.4%), $153.03 million in FY2023 (+31.0%), $116.8 million in FY2022 (+511.5%) and $19.1 million in FY2021 (-82.1%).
- The Q1 2026 figure ranks as the highest quarterly Change in Net Loans since Q4 2023.
- Year over year, Change in Net Loans has now increased in each of the last three quarters, with growth averaging 4.2% over the last eight quarters.
- The high point for year-over-year Change in Net Loans in five years was Q2 2022 (growth of 325.7%); the low point was Q3 2021 (a decline of 88.1%).
- Per Business Quant data, the three quarters before Q1 2026 came in at $31.75 million (Q4 2025), $19.27 million (Q3 2025) and $8.09 million (Q2 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change in Net Loans (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | - |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | - |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | - |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 12.69 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | -22.01 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 7.29 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | -19.63 Bn |
| 10 | First Community | 302.39 Mn | 302.39 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 42.26 Mn |
| Dec 31, 2025 | 31.75 Mn |
| Sep 30, 2025 | 19.27 Mn |
| Jun 30, 2025 | 8.09 Mn |
| Mar 31, 2025 | 31.43 Mn |
| Dec 31, 2024 | 23.85 Mn |
| Sep 30, 2024 | 7.54 Mn |
| Jun 30, 2024 | 31.89 Mn |
| Mar 31, 2024 | 23.31 Mn |
| Dec 31, 2023 | 42.31 Mn |
| Sep 30, 2023 | 59.46 Mn |
| Jun 30, 2023 | 39.44 Mn |
| Mar 31, 2023 | 11.83 Mn |
| Dec 31, 2022 | 30.64 Mn |
| Sep 30, 2022 | 33.79 Mn |
| Jun 30, 2022 | 40.30 Mn |
| Mar 31, 2022 | 12.07 Mn |
| Dec 31, 2021 | -18.05 Mn |
| Sep 30, 2021 | 2.82 Mn |
| Jun 30, 2021 | 9.47 Mn |
First Community 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=FCCO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-net-loans", "ticker": "FCCO", "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=FCCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();