Match (MTCH) Gains from Sales and Divestitures (2009 - 2019)
Match (MTCH) recorded Gains from Sales and Divestitures of $755,000 in Q4 2015, down 97.8% from the prior quarter.
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Analysis
Match (MTCH) Gains from Sales and Divestitures (2009 - 2019) Analysis & Trends
For FY2015, Match reported Gains from Sales and Divestitures of $34.34 million.
- Annual Gains from Sales and Divestitures has a four-year compound annual growth rate of 125.1% (FY2011 to FY2015).
- Across earlier years, Gains from Sales and Divestitures came in at $250,000 in FY2012 (-81.3%) and $1.34 million in FY2011.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Alphabet | 4,185.47 Bn | 3,943.00 Bn | 73.85 Bn |
| 2 | Meta Platforms | 1,794.56 Bn | 1,497.08 Bn | 49.47 Bn |
| 3 | Netflix | 292.71 Bn | 252.90 Bn | 6.52 Bn |
| 4 | Alibaba Group Holding | 251.74 Bn | 65.51 Bn | 15.11 Bn |
| 5 | Shopify | 221.57 Bn | 198.76 Bn | 1.71 Bn |
| 6 | Uber Technologies | 142.45 Bn | 114.25 Bn | 6.38 Bn |
| 7 | Booking Holdings | 124.83 Bn | 57.88 Bn | - |
| 8 | PDD Holdings | 113.76 Bn | -130.01 Bn | 9.45 Bn |
| 9 | Spotify Technology | 106.73 Bn | 64.23 Bn | 1.86 Bn |
| 10 | Match | 10.42 Bn | 6.72 Bn | 648.84 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2019 | -2.21 Mn |
| Sep 30, 2019 | 214,000.00 |
| Dec 31, 2018 | 92.72 Mn |
| Sep 30, 2018 | 68,000.00 |
| Dec 31, 2017 | -26.29 Mn |
| Sep 30, 2017 | 4.37 Mn |
| Jun 30, 2017 | 20.43 Mn |
| Mar 31, 2017 | -763,000.00 |
| Dec 31, 2016 | 37.55 Mn |
| Sep 30, 2016 | 279,000.00 |
| Jun 30, 2016 | -1.56 Mn |
| Mar 31, 2016 | 14.70 Mn |
| Dec 31, 2015 | 755,000.00 |
| Sep 30, 2015 | 33.59 Mn |
| Jun 30, 2015 | -42,000.00 |
| Dec 31, 2013 | 14.76 Mn |
| Sep 30, 2009 | 15.44 Mn |
API Access
Match 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=MTCH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gains-from-sales-and-divestitures", "ticker": "MTCH", "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=MTCH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();