First Bancorp /Pr/ (FBP) Marketing and Advertising (2010 - 2026)
Powered by 
Analysis
First Bancorp /Pr/ (FBP) Marketing and Advertising (2010 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.44 Mn |
| Mar 31, 2026 | 3.56 Mn |
| Dec 31, 2025 | 5.94 Mn |
| Sep 30, 2025 | 3.88 Mn |
| Jun 30, 2025 | 3.50 Mn |
| Mar 31, 2025 | 3.28 Mn |
| Dec 31, 2024 | 5.33 Mn |
| Sep 30, 2024 | 4.12 Mn |
| Jun 30, 2024 | 4.36 Mn |
| Mar 31, 2024 | 3.84 Mn |
| Dec 31, 2023 | 6.73 Mn |
| Sep 30, 2023 | 4.76 Mn |
| Jun 30, 2023 | 4.17 Mn |
| Mar 31, 2023 | 3.98 Mn |
| Dec 31, 2022 | 5.59 Mn |
| Sep 30, 2022 | 5.14 Mn |
| Jun 30, 2022 | 4.04 Mn |
| Mar 31, 2022 | 3.46 Mn |
| Dec 31, 2021 | 5.79 Mn |
| Sep 30, 2021 | 3.37 Mn |
API Access
First Bancorp /Pr/ Marketing and Advertising 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=marketing-and-advertising&ticker=FBP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "marketing-and-advertising", "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=marketing-and-advertising&ticker=FBP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();