First Bancorp (FBNC) Operating Expenses (2010 - 2026)
First Bancorp's Operating Expenses was $62.76 million in Q2 2026, up 6.5% from $58.92 million a year earlier and up 4.2% from the prior quarter.
First Bancorp (FBNC) Operating Expenses (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, First Bancorp's Operating Expenses was $245.41 million through Jun 30, 2026, up 4.4% year-over-year; for FY2025, it was $239.31 million, up 1.6% from FY2024.
- Operating Expenses shows a five-year compound annual growth rate of 8.2% (FY2020 to FY2025).
- In earlier years, Operating Expenses was $235.61 million in FY2024 (-7.4%), $254.38 million in FY2023 (+30.3%), $195.22 million in FY2022 (+5.7%) and $184.66 million in FY2021 (+14.5%).
- The Q2 2026 figure marks the highest quarterly Operating Expenses since Q1 2023.
- Compared with a year earlier, Operating Expenses has increased for five straight quarters, with growth averaging 2.0% over the last eight quarters.
- The best year-over-year quarter for Operating Expenses over five years was Q4 2021 (growth of 49.9%); the worst was Q4 2022 (a decline of 27.3%).
- Per Business Quant data, FBNC's Operating Expenses in the three quarters before Q2 2026 was $60.22 million (Q1 2026), $62.22 million (Q4 2025) and $60.21 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 27.32 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | -3,218.32 Bn |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 18.63 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 13.90 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 7.02 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | 17.50 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 11.67 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 13.66 Bn |
| 10 | First Bancorp | 2.53 Bn | 2.53 Bn | - | 62.76 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 62.76 Mn |
| Mar 31, 2026 | 60.22 Mn |
| Dec 31, 2025 | 62.22 Mn |
| Sep 30, 2025 | 60.21 Mn |
| Jun 30, 2025 | 58.92 Mn |
| Mar 31, 2025 | 57.91 Mn |
| Dec 31, 2024 | 58.28 Mn |
| Sep 30, 2024 | 59.85 Mn |
| Jun 30, 2024 | 58.29 Mn |
| Mar 31, 2024 | 59.19 Mn |
| Dec 31, 2023 | 56.39 Mn |
| Sep 30, 2023 | 62.22 Mn |
| Jun 30, 2023 | 61.59 Mn |
| Mar 31, 2023 | 74.18 Mn |
| Dec 31, 2022 | 45.66 Mn |
| Sep 30, 2022 | 48.70 Mn |
| Jun 30, 2022 | 49.40 Mn |
| Mar 31, 2022 | 51.47 Mn |
| Dec 31, 2021 | 62.79 Mn |
| Sep 30, 2021 | 40.82 Mn |
First Bancorp Operating 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=operating-expenses&ticker=FBNC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=FBNC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();