BBX Capital (BBXIA) Revenue (2019 - 2024)
Analysis
BBX Capital (BBXIA) Revenue (2019 - 2024) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2024 | 72.63 Mn |
| Sep 30, 2024 | 78.45 Mn |
| Jun 30, 2024 | 75.22 Mn |
| Mar 31, 2024 | 80.97 Mn |
| Dec 31, 2023 | 96.14 Mn |
| Sep 30, 2023 | 103.34 Mn |
| Jun 30, 2023 | 106.84 Mn |
| Mar 31, 2023 | 95.00 Mn |
| Dec 31, 2022 | 107.64 Mn |
| Sep 30, 2022 | 75.23 Mn |
| Jun 30, 2022 | 83.69 Mn |
| Mar 31, 2022 | 75.48 Mn |
| Dec 31, 2021 | 98.21 Mn |
| Sep 30, 2021 | 91.79 Mn |
| Jun 30, 2021 | 61.72 Mn |
| Mar 31, 2021 | 61.88 Mn |
| Dec 31, 2020 | 56.24 Mn |
| Sep 30, 2020 | 42.21 Mn |
| Jun 30, 2020 | 26.60 Mn |
| Mar 31, 2020 | 48.18 Mn |
API Access
BBX Capital Revenue 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=revenue&ticker=BBXIA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "ticker": "BBXIA", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=revenue&ticker=BBXIA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();