First National (FXNC) Accumulated Expenses (2009 - 2026)
First National's Accumulated Expenses came in at $7.75 million for Q3 2026, down 17.9% from $9.44 million a year earlier and down 5.3% from the prior quarter.
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Analysis
First National (FXNC) Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2025, First National's Accumulated Expenses was $9.64 million, up 1.3% from FY2024.
- Accumulated Expenses carries a five-year compound annual growth rate of 17.6% (FY2020 to FY2025).
- Going back by year, Accumulated Expenses was $9.52 million in FY2024 (+89.5%), $5.02 million in FY2023 (-7.3%), $5.42 million in FY2022 (+23.8%) and $4.37 million in FY2021 (+2.1%).
- The five-year range for quarterly Accumulated Expenses is $3.93 million (Q1 2022) to $9.64 million (Q4 2025).
- Year-over-year, Accumulated Expenses has declined for three consecutive quarters, with growth averaging 16.6% over the last eight quarters.
- The fastest year-over-year change in Accumulated Expenses over five years came in Q4 2024 (growth of 89.5%), and the weakest in Q1 2022 (a decline of 42.8%).
- Business Quant data shows FXNC's Accumulated Expenses at $8.19 million (Q2 2026), $7.31 million (Q1 2026) and $9.64 million (Q4 2025) in the three quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn |
| 10 | First National | 273.54 Mn | 273.54 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 7.75 Mn |
| Jun 30, 2026 | 8.19 Mn |
| Mar 31, 2026 | 7.31 Mn |
| Dec 31, 2025 | 9.64 Mn |
| Sep 30, 2025 | 9.44 Mn |
| Jun 30, 2025 | 9.32 Mn |
| Mar 31, 2025 | 8.96 Mn |
| Dec 31, 2024 | 9.52 Mn |
| Sep 30, 2024 | 8.07 Mn |
| Jun 30, 2024 | 7.56 Mn |
| Mar 31, 2024 | 5.97 Mn |
| Dec 31, 2023 | 5.02 Mn |
| Sep 30, 2023 | 4.79 Mn |
| Jun 30, 2023 | 4.72 Mn |
| Mar 31, 2023 | 4.72 Mn |
| Dec 31, 2022 | 5.42 Mn |
| Sep 30, 2022 | 4.20 Mn |
| Jun 30, 2022 | 3.95 Mn |
| Mar 31, 2022 | 3.93 Mn |
| Dec 31, 2021 | 4.37 Mn |
API Access
First National 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=FXNC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "FXNC", "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=FXNC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();