First National (FXNC) Total Non-Current Liabilities (2010 - 2026)
First National's Total Non-Current Liabilities came in at $1.88 billion for Q2 2026, up 0.8% from $1.87 billion a year earlier but down 0.3% from the prior quarter.
First National (FXNC) Total Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, First National's Total Non-Current Liabilities was $1.85 billion, up 0.5% from FY2024.
- Total Non-Current Liabilities has increased in each of the last three years, with a five-year compound annual growth rate of 16.4% (FY2020 to FY2025).
- Going back by year, Total Non-Current Liabilities was $1.84 billion in FY2024 (+41.4%), $1.3 billion in FY2023 (+3.5%), $1.26 billion in FY2022 (-1.0%) and $1.27 billion in FY2021 (+46.9%).
- The five-year range for quarterly Total Non-Current Liabilities is $1.24 billion (Q3 2021) to $1.89 billion (Q1 2026).
- Year-over-year, Total Non-Current Liabilities has increased for 11 consecutive quarters, with growth averaging 21.2% over the last eight quarters.
- The fastest year-over-year change in Total Non-Current Liabilities over five years came in Q4 2021 (growth of 46.9%), and the weakest in Q2 2023 (a decline of 4.1%).
- Business Quant data shows FXNC's Total Non-Current Liabilities at $1.89 billion (Q1 2026), $1.85 billion (Q4 2025) and $1.85 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 4,639.66 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | 60,162.97 Bn |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 3,155.50 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | 381.20 Bn |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | - |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 1,603.10 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | 2,449.29 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 1,977.24 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | - |
| 10 | First National | 265.67 Mn | -438.51 Mn | - | 1.88 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.88 Bn |
| Mar 31, 2026 | 1.89 Bn |
| Dec 31, 2025 | 1.85 Bn |
| Sep 30, 2025 | 1.85 Bn |
| Jun 30, 2025 | 1.87 Bn |
| Mar 31, 2025 | 1.86 Bn |
| Dec 31, 2024 | 1.84 Bn |
| Sep 30, 2024 | 1.32 Bn |
| Jun 30, 2024 | 1.33 Bn |
| Mar 31, 2024 | 1.33 Bn |
| Dec 31, 2023 | 1.30 Bn |
| Sep 30, 2023 | 1.25 Bn |
| Jun 30, 2023 | 1.26 Bn |
| Mar 31, 2023 | 1.26 Bn |
| Dec 31, 2022 | 1.26 Bn |
| Sep 30, 2022 | 1.28 Bn |
| Jun 30, 2022 | 1.31 Bn |
| Mar 31, 2022 | 1.31 Bn |
| Dec 31, 2021 | 1.27 Bn |
| Sep 30, 2021 | 1.24 Bn |
First National Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=FXNC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=FXNC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();