Sarepta Therapeutics (SRPT) Gains from Sales and Divestitures (2012 - 2023)
Sarepta Therapeutics (SRPT) reported Gains from Sales and Divestitures of $102 million for FY2023.
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Analysis
Sarepta Therapeutics (SRPT) Gains from Sales and Divestitures (2012 - 2023) Analysis & Trends
Dating back to FY2011, Sarepta Therapeutics' Gains from Sales and Divestitures record includes 11 years.
- According to Business Quant data, Gains from Sales and Divestitures came in at $102 million in FY2021 (-5.6%) and $108.07 million in FY2020.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn |
| 10 | Sarepta Therapeutics | 1.85 Bn | -1.38 Bn | 251.87 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2023 | 102.00 Mn |
| Dec 31, 2022 | 5.37 Mn |
| Jun 30, 2021 | 102.00 Mn |
| Mar 31, 2019 | -88,000.00 |
| Dec 31, 2018 | -3.84 Mn |
| Sep 30, 2018 | -57,000.00 |
| Jun 30, 2018 | -27,000.00 |
| Mar 31, 2018 | -10,000.00 |
| Mar 31, 2017 | 125.00 Mn |
| Dec 31, 2016 | -248,000.00 |
| Sep 30, 2016 | -21,000.00 |
| Jun 30, 2016 | -9,000.00 |
| Mar 31, 2016 | -15,000.00 |
| Dec 31, 2015 | -17,000.00 |
| Sep 30, 2015 | -48,000.00 |
| Jun 30, 2015 | -1,000.00 |
| Mar 31, 2015 | -131,000.00 |
| Dec 31, 2014 | -76,000.00 |
| Jun 30, 2014 | -46,000.00 |
| Mar 31, 2014 | -6,000.00 |
API Access
Sarepta Therapeutics 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=SRPT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gains-from-sales-and-divestitures", "ticker": "SRPT", "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=SRPT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();