Brightstar Lottery (BRSL) Finished Goods (2014 - 2024)
Brightstar Lottery (BRSL) posted Finished Goods of $83 million for the quarter ended Jun 30, 2024, down 4.6% from the prior quarter.
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Analysis
Brightstar Lottery (BRSL) Finished Goods (2014 - 2024) Analysis & Trends
As of Dec 31, 2023, Brightstar Lottery's Finished Goods came in at $90 million.
- Annual Finished Goods shows a five-year compound annual growth rate of -5.2% (years ended Dec 2018 to Dec 2023).
- In prior years, Brightstar Lottery's Finished Goods was $96.9 million in the year ended Dec 31, 2019 (-17.5%).
- The figure for the quarter ended Jun 30, 2024 stands as the lowest quarterly Finished Goods in data going back to the quarter ended Dec 31, 2014.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palantir Technologies | 449.27 Bn | 418.33 Bn | 1.64 Bn |
| 2 | Oracle | 417.01 Bn | 289.56 Bn | - |
| 3 | Sap Se | 258.97 Bn | 180.05 Bn | 8.40 Bn |
| 4 | Salesforce | 185.51 Bn | 141.38 Bn | 8.70 Bn |
| 5 | ServiceNow | 134.41 Bn | 112.87 Bn | 2.82 Bn |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn |
| 7 | Intuit | 71.93 Bn | 51.28 Bn | 3.44 Bn |
| 8 | Relx | 60.47 Bn | 57.43 Bn | - |
| 9 | Strategy | 54.44 Bn | 47.43 Bn | 81.55 Mn |
| 10 | Brightstar Lottery | 1.86 Bn | -1.82 Bn | 559.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2024 | 83.00 Mn |
| Mar 31, 2024 | 87.00 Mn |
| Dec 31, 2023 | 90.00 Mn |
| Jun 30, 2020 | 103.49 Mn |
| Mar 31, 2020 | 103.62 Mn |
| Dec 31, 2019 | 96.90 Mn |
| Dec 31, 2018 | 117.52 Mn |
| Dec 31, 2017 | 129.62 Mn |
| Dec 31, 2016 | 145.84 Mn |
| Dec 31, 2015 | 102.77 Mn |
| Dec 31, 2014 | 99.90 Mn |
API Access
Brightstar Lottery Finished Goods 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=finished-goods&ticker=BRSL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "finished-goods", "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=finished-goods&ticker=BRSL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();