DigitalBridge (DBRG) Acquisitions (2016 - 2023)
DigitalBridge's Acquisitions came in at $314.27 million for FY2023.
Analysis
DigitalBridge (DBRG) Acquisitions (2016 - 2023) Analysis & Trends
Going back to FY2014, DigitalBridge's Acquisitions data covers 7 years.
- Acquisitions carries a five-year compound annual growth rate of -10.5% (FY2018 to FY2023).
- The FY2023 figure represents the highest annual Acquisitions since FY2018.
- Per Business Quant, earlier years put Acquisitions at $32.5 million in FY2020 (-86.9%) and $247.36 million in FY2019 (-54.9%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Acquisitions (Qtr) |
|---|---|---|---|---|---|
| 1 | BlackRock | 164.13 Bn | 110.49 Bn | - | - |
| 2 | Spdr Gold Trust | 133.82 Bn | -424.18 Bn | - | - |
| 3 | Blackstone | 84.08 Bn | 79.01 Bn | - | - |
| 4 | Brookfield | 82.97 Bn | -82.41 Bn | 4.47 Bn | - |
| 5 | Kkr | 81.05 Bn | 47.53 Bn | - | 138.72 Mn |
| 6 | Brookfield Asset Management | 71.64 Bn | 67.88 Bn | - | - |
| 7 | Apollo Global Management | 65.67 Bn | 3.35 Bn | 10.56 Bn | - |
| 8 | Wheaton Precious Metals | 61.89 Bn | 57.32 Bn | 687.86 Mn | - |
| 9 | Franco Nevada | 46.13 Bn | 43.49 Bn | 451.00 Mn | - |
| 10 | DigitalBridge | 3.00 Bn | 1.38 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2023 | 1.10 Mn |
| Mar 31, 2023 | 313.16 Mn |
| Jun 30, 2020 | -94.34 Mn |
| Mar 31, 2020 | 126.84 Mn |
| Dec 31, 2019 | 66.19 Mn |
| Sep 30, 2019 | 181.17 Mn |
| Jun 30, 2019 | -101.34 Mn |
| Mar 31, 2019 | 101.34 Mn |
| Dec 31, 2018 | 337.99 Mn |
| Sep 30, 2018 | 20.98 Mn |
| Jun 30, 2018 | 92.79 Mn |
| Mar 31, 2018 | 96.41 Mn |
| Dec 31, 2017 | 499.82 Mn |
| Mar 31, 2017 | 23.11 Mn |
| Dec 31, 2016 | -373.01 Mn |
| Sep 30, 2016 | 144.07 Mn |
| Jun 30, 2016 | 109.00 Mn |
| Mar 31, 2016 | 119.93 Mn |
API Access
DigitalBridge Acquisitions 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=acquisitions&ticker=DBRG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "acquisitions", "ticker": "DBRG", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=acquisitions&ticker=DBRG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();