First Bancorp (FBNC) Cash from Operations (2011 - 2026)
First Bancorp (FBNC) recorded Cash from Operations of $66.48 million in Q2 2026, up 45.4% from $45.71 million a year earlier and up 8.6% from the prior quarter.
First Bancorp (FBNC) Cash from Operations (2011 - 2026) Analysis & Trends
On a TTM basis, First Bancorp's Cash from Operations came in at $232.5 million as of Jun 30, 2026, up 13.2% year-over-year; for FY2025, it came in at $203.13 million, up 16.2% from FY2024.
- Annual Cash from Operations has a five-year compound annual growth rate of 28.3% (FY2020 to FY2025).
- Across earlier years, Cash from Operations came in at $174.78 million in FY2024 (+33.0%), $131.4 million in FY2023 (-43.0%), $230.65 million in FY2022 (+62.1%) and $142.34 million in FY2021 (+144.0%).
- The Q2 2026 figure is the highest quarterly Cash from Operations since Q4 2024.
- On a year-over-year basis, Cash from Operations rose in five of the last seven quarters, with growth averaging 20.0%.
- Peak year-over-year performance for Cash from Operations in the last five years was growth of 225.8% in Q1 2022, against a decline of 63.4% in Q1 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $61.2 million (Q1 2026), $55.16 million (Q4 2025) and $49.67 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash from Ops. (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | -25.28 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | - |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 29.04 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | -2.75 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 25.17 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 | - | 6.11 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 6.78 Bn |
| 10 | First Bancorp | 2.53 Bn | 2.53 Bn | - | 66.48 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 66.48 Mn |
| Mar 31, 2026 | 61.20 Mn |
| Dec 31, 2025 | 55.16 Mn |
| Sep 30, 2025 | 49.67 Mn |
| Jun 30, 2025 | 45.71 Mn |
| Mar 31, 2025 | 52.60 Mn |
| Dec 31, 2024 | 68.73 Mn |
| Sep 30, 2024 | 38.42 Mn |
| Jun 30, 2024 | 87.72 Mn |
| Mar 31, 2024 | -20.09 Mn |
| Dec 31, 2023 | 38.17 Mn |
| Sep 30, 2023 | 28.08 Mn |
| Jun 30, 2023 | 28.54 Mn |
| Mar 31, 2023 | 36.62 Mn |
| Dec 31, 2022 | 51.45 Mn |
| Sep 30, 2022 | 48.69 Mn |
| Jun 30, 2022 | 30.37 Mn |
| Mar 31, 2022 | 100.14 Mn |
| Dec 31, 2021 | 31.16 Mn |
| Sep 30, 2021 | 30.08 Mn |
First Bancorp Cash from Operations 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=cash-from-operations&ticker=FBNC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-from-operations", "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=cash-from-operations&ticker=FBNC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();