First National (FXNC) Pension (2010 - 2025)
First National's Pension came in at $928,000 for Q4 2025, up 4.4% from $889,000 a year earlier.
Analysis
First National (FXNC) Pension (2010 - 2025) Analysis & Trends
Going back to Q4 2010, First National's Pension data covers 12 quarters.
- Pension carries a four-year compound annual growth rate of 5.6% (FY2021 to FY2025).
- Going back by year, Pension was $889,000 in FY2024 (-11.1%), $1 million in FY2023 (+11.9%), $894,000 in FY2022 (+20.0%) and $745,000 in FY2021.
- The Q4 2025 figure represents the highest quarterly Pension since Q4 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 | - |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 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 | - |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - |
| 10 | First National | 265.67 Mn | -438.51 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 928,000.00 |
| Dec 31, 2024 | 889,000.00 |
| Dec 31, 2023 | 1.00 Mn |
| Dec 31, 2022 | 894,000.00 |
| Dec 31, 2021 | 745,000.00 |
| Dec 31, 2016 | 2.08 Mn |
| Dec 31, 2015 | 3.84 Mn |
| Dec 31, 2014 | 3.36 Mn |
| Dec 31, 2013 | 1.17 Mn |
| Dec 31, 2012 | 3.20 Mn |
| Dec 31, 2011 | 2.54 Mn |
| Dec 31, 2010 | 1.30 Mn |
API Access
First National Pension 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=pension&ticker=FXNC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "pension", "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=pension&ticker=FXNC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();