First Bancorp (FBP) Weighted Average Shares Outstanding (2009 - 2026)
First Bancorp's Weighted Average Shares Outstanding was 153.47 million in Q2 2026, down 4.6% from 160.88 million a year earlier and down 1.2% from the prior quarter.
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Analysis
First Bancorp (FBP) Weighted Average Shares Outstanding (2009 - 2026) Analysis & Trends
For FY2025, Weighted Average Shares Outstanding at First Bancorp came in at 159.96 million, down 2.8% from FY2024.
- Weighted Average Shares Outstanding has now declined for five consecutive years, with a five-year compound annual growth rate of -5.9% (FY2020 to FY2025).
- In earlier years, Weighted Average Shares Outstanding was 164.55 million in FY2024 (-6.8%), 176.5 million in FY2023 (-7.5%), 190.81 million in FY2022 (-9.2%) and 210.12 million in FY2021 (-3.1%).
- The Q2 2026 figure marks the lowest quarterly Weighted Average Shares Outstanding since Q4 2011.
- Compared with a year earlier, Weighted Average Shares Outstanding has declined for 21 straight quarters, with an average decline of 4.2% over the last eight quarters.
- The year-over-year decline in Weighted Average Shares Outstanding has ranged between 2.3% (Q3 2025) and 9.4% (Q3 2022) over the last five years.
- Per Business Quant data, FBP's Weighted Average Shares Outstanding in the three quarters before Q2 2026 was 155.26 million (Q1 2026), 159.96 million (Q4 2025) and 159.29 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn |
| 10 | First Bancorp | 3.96 Bn | -15.81 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 151.10 Mn |
| Jun 30, 2026 | 153.47 Mn |
| Mar 31, 2026 | 155.26 Mn |
| Dec 31, 2025 | 159.96 Mn |
| Sep 30, 2025 | 159.29 Mn |
| Jun 30, 2025 | 160.88 Mn |
| Mar 31, 2025 | 162.93 Mn |
| Dec 31, 2024 | 164.55 Mn |
| Sep 30, 2024 | 163.06 Mn |
| Jun 30, 2024 | 164.95 Mn |
| Mar 31, 2024 | 167.14 Mn |
| Dec 31, 2023 | 176.50 Mn |
| Sep 30, 2023 | 176.36 Mn |
| Jun 30, 2023 | 178.93 Mn |
| Mar 31, 2023 | 180.22 Mn |
| Dec 31, 2022 | 190.81 Mn |
| Sep 30, 2022 | 187.24 Mn |
| Jun 30, 2022 | 194.41 Mn |
| Mar 31, 2022 | 198.13 Mn |
| Dec 31, 2021 | 210.12 Mn |
API Access
First Bancorp Weighted Average Shares Outstanding 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=weighted-average-shares-outstanding&ticker=FBP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "weighted-average-shares-outstanding", "ticker": "FBP", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=weighted-average-shares-outstanding&ticker=FBP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();