Brightstar Lottery (BRSL) Gains from Sales and Divestitures (2018 - 2022)
Brightstar Lottery's Gains from Sales and Divestitures came in at -$278 million for the year ended Dec 31, 2022.
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Analysis
Brightstar Lottery (BRSL) Gains from Sales and Divestitures (2018 - 2022) Analysis & Trends
Going back to the year ended Dec 31, 2017, Brightstar Lottery's Gains from Sales and Divestitures data covers 4 years.
- The figure for the year ended Dec 31, 2022 represents the highest annual Gains from Sales and Divestitures since the year ended Dec 31, 2019.
- Per Business Quant, earlier years put Gains from Sales and Divestitures at -$65 million in the year ended Dec 31, 2019 and -$318 million in the year ended Dec 31, 2018.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palantir Technologies | 453.55 Bn | 422.61 Bn | 1.64 Bn |
| 2 | Oracle | 430.98 Bn | 303.54 Bn | - |
| 3 | Sap Se | 256.23 Bn | 177.31 Bn | 8.40 Bn |
| 4 | Salesforce | 193.08 Bn | 148.96 Bn | 8.70 Bn |
| 5 | ServiceNow | 138.94 Bn | 117.40 Bn | 2.82 Bn |
| 6 | Automatic Data Processing | 102.51 Bn | 84.63 Bn | 2.51 Bn |
| 7 | Intuit | 75.44 Bn | 54.79 Bn | 3.44 Bn |
| 8 | Relx | 60.79 Bn | 57.76 Bn | - |
| 9 | Strategy | 56.32 Bn | 49.31 Bn | 81.55 Mn |
| 10 | Brightstar Lottery | 1.84 Bn | -1.84 Bn | 559.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2022 | -278.00 Mn |
| Dec 31, 2021 | -3.00 Mn |
| Dec 31, 2020 | -482,000.00 |
| Dec 31, 2019 | 610,000.00 |
| Dec 31, 2018 | -323.57 Mn |
| Sep 30, 2018 | 6.70 Mn |
API Access
Brightstar Lottery Gains from Sales and Divestitures 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=gains-from-sales-and-divestitures&ticker=BRSL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gains-from-sales-and-divestitures", "ticker": "BRSL", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=gains-from-sales-and-divestitures&ticker=BRSL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();