First Bancorp (FBNC) Total Non-Current Liabilities (2010 - 2026)
First Bancorp's Total Non-Current Liabilities came in at $11.16 billion for Q2 2026, up 2.2% from $10.93 billion a year earlier and up 0.7% from the prior quarter.
First Bancorp (FBNC) Total Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, First Bancorp's Total Non-Current Liabilities was $10.83 billion, up 1.9% from FY2024.
- Total Non-Current Liabilities carries a five-year compound annual growth rate of 11.2% (FY2020 to FY2025).
- Going back by year, Total Non-Current Liabilities was $10.63 billion in FY2024 (-0.4%), $10.67 billion in FY2023 (+11.9%), $9.54 billion in FY2022 (+3.5%) and $9.21 billion in FY2021 (+45.0%).
- The Q2 2026 figure represents the highest quarterly Total Non-Current Liabilities in data going back to Q2 2010.
- Year-over-year, Total Non-Current Liabilities has increased for six consecutive quarters, with growth averaging 1.7% 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 45.0%), and the weakest in Q1 2024 (a decline of 3.1%).
- Business Quant data shows FBNC's Total Non-Current Liabilities at $11.09 billion (Q1 2026), $10.83 billion (Q4 2025) and $10.98 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 Bancorp | 2.53 Bn | 2.53 Bn | - | 11.16 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 11.16 Bn |
| Mar 31, 2026 | 11.09 Bn |
| Dec 31, 2025 | 10.83 Bn |
| Sep 30, 2025 | 10.98 Bn |
| Jun 30, 2025 | 10.93 Bn |
| Mar 31, 2025 | 10.84 Bn |
| Dec 31, 2024 | 10.63 Bn |
| Sep 30, 2024 | 10.60 Bn |
| Jun 30, 2024 | 10.59 Bn |
| Mar 31, 2024 | 10.66 Bn |
| Dec 31, 2023 | 10.67 Bn |
| Sep 30, 2023 | 10.66 Bn |
| Jun 30, 2023 | 10.67 Bn |
| Mar 31, 2023 | 11.01 Bn |
| Dec 31, 2022 | 9.54 Bn |
| Sep 30, 2022 | 9.48 Bn |
| Jun 30, 2022 | 9.45 Bn |
| Mar 31, 2022 | 9.47 Bn |
| Dec 31, 2021 | 9.21 Bn |
| Sep 30, 2021 | 7.51 Bn |
First Bancorp 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=FBNC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "FBNC", "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=FBNC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();