First Bancorp /Pr/ (FBP) Technology and Communications (2012 - 2026)
Analysis
First Bancorp /Pr/ (FBP) Technology and Communications (2012 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.23 Mn |
| Mar 31, 2026 | 2.29 Mn |
| Dec 31, 2025 | 2.28 Mn |
| Sep 30, 2025 | 2.29 Mn |
| Jun 30, 2025 | 2.21 Mn |
| Mar 31, 2025 | 2.25 Mn |
| Dec 31, 2024 | 2.25 Mn |
| Sep 30, 2024 | 2.17 Mn |
| Jun 30, 2024 | 2.26 Mn |
| Mar 31, 2024 | 2.10 Mn |
| Dec 31, 2023 | 2.13 Mn |
| Sep 30, 2023 | 2.22 Mn |
| Jun 30, 2023 | 1.99 Mn |
| Mar 31, 2023 | 2.22 Mn |
| Dec 31, 2022 | 2.32 Mn |
| Sep 30, 2022 | 2.27 Mn |
| Jun 30, 2022 | 1.98 Mn |
| Mar 31, 2022 | 2.15 Mn |
| Dec 31, 2021 | 2.27 Mn |
| Sep 30, 2021 | 2.25 Mn |
API Access
First Bancorp /Pr/ Technology and Communications 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=technology-and-communications&ticker=FBP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "technology-and-communications", "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=technology-and-communications&ticker=FBP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();