First United (FUNC) Accumulated Expenses (2012 - 2025)
First United (FUNC) recorded Accumulated Expenses of $5.66 million in Q4 2025, up 7.8% from $5.25 million a year earlier.
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Analysis
First United (FUNC) Accumulated Expenses (2012 - 2025) Analysis & Trends
Starting with Q4 2012, First United's Accumulated Expenses history includes 14 quarters.
- Annual Accumulated Expenses has increased for three straight years, though with a five-year compound annual growth rate of -7.6% (FY2020 to FY2025).
- Across earlier years, Accumulated Expenses came in at $5.25 million in FY2024 (+9.4%), $4.8 million in FY2023 (+8.5%), $4.43 million in FY2022 (-13.1%) and $5.09 million in FY2021 (-39.4%).
- The Q4 2025 figure is the highest quarterly Accumulated Expenses since Q4 2020.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 918.91 Bn | 918.91 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 | - |
| 6 | Royal Bank Of Canada | 287.92 Bn | 137.98 Bn | - |
| 7 | Goldman Sachs | 270.57 Bn | -3,472.88 Bn | - |
| 8 | Wells Fargo & Company | 258.79 Bn | 258.79 Bn | - |
| 9 | Mitsubishi Ufj Financial | 247.94 Bn | 129.81 Bn | - |
| 10 | First United | 299.30 Mn | -82.22 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 5.66 Mn |
| Dec 31, 2024 | 5.25 Mn |
| Dec 31, 2023 | 4.80 Mn |
| Dec 31, 2022 | 4.43 Mn |
| Dec 31, 2021 | 5.09 Mn |
| Dec 31, 2020 | 8.40 Mn |
| Dec 31, 2019 | 4.25 Mn |
| Dec 31, 2018 | 3.14 Mn |
| Dec 31, 2017 | 4.62 Mn |
| Dec 31, 2016 | 4.22 Mn |
| Dec 31, 2015 | 2.59 Mn |
| Dec 31, 2014 | 2.64 Mn |
| Dec 31, 2013 | 14.73 Mn |
| Dec 31, 2012 | 10.69 Mn |
API Access
First United Accumulated Expenses 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=accumulated-expenses&ticker=FUNC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=FUNC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();