Match (MTCH) Acquisitions (2009 - 2023)
Match's Acquisitions came in at $11.57 million for Q4 2023.
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Analysis
Match (MTCH) Acquisitions (2009 - 2023) Analysis & Trends
Going back to Q3 2009, Match's Acquisitions data covers 42 quarters.
- Going back by year, Acquisitions was $25.68 million in FY2022 (-97.0%), $859.91 million in FY2021 and $3.76 million in FY2019.
- The Q4 2023 figure represents the highest quarterly Acquisitions since Q3 2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Acquisitions (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,185.47 Bn | 3,943.00 Bn | 73.85 Bn | 76.00 Mn |
| 2 | Meta Platforms | 1,794.56 Bn | 1,497.08 Bn | 49.47 Bn | 102.00 Mn |
| 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 | 647.00 Mn |
| 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, 2023 | 11.57 Mn |
| Sep 30, 2022 | 25.68 Mn |
| Dec 31, 2021 | -3.35 Mn |
| Sep 30, 2021 | 22.39 Mn |
| Jun 30, 2020 | -532.86 Mn |
| Mar 31, 2020 | 532.86 Mn |
| Jun 30, 2019 | -17.80 Mn |
| Mar 31, 2019 | 21.56 Mn |
| Dec 31, 2018 | -18.77 Mn |
| Sep 30, 2018 | 122,000.00 |
| Jun 30, 2018 | -3.78 Mn |
| Mar 31, 2018 | 21.30 Mn |
| Dec 31, 2017 | 77.44 Mn |
| Sep 30, 2017 | 19.95 Mn |
| Jun 30, 2017 | -3.20 Mn |
| Mar 31, 2017 | 52.37 Mn |
| Dec 31, 2016 | 15.88 Mn |
| Jun 30, 2016 | 272,000.00 |
| Mar 31, 2016 | 2.25 Mn |
| Dec 31, 2015 | 574.12 Mn |
API Access
Match 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=MTCH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "acquisitions", "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=acquisitions&ticker=MTCH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();