Match (MTCH) Long-Term Investments (2009 - 2020)
Match (MTCH) posted Long-Term Investments of $301.59 million for Q1 2020, up 28.6% from $234.6 million a year earlier but down 14.6% from the prior quarter.
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Analysis
Match (MTCH) Long-Term Investments (2009 - 2020) Analysis & Trends
At the end of FY2019, Match's Long-Term Investments came in at $353.05 million, up 50.2% from FY2018.
- Annual Long-Term Investments shows a five-year compound annual growth rate of 25.2% (FY2014 to FY2019).
- In prior years, Match's Long-Term Investments was $235.06 million in FY2018 (+261.8%), $64.98 million in FY2017 (-47.1%), $122.81 million in FY2016 (-10.6%) and $137.39 million in FY2015 (+19.5%).
- Quarterly Long-Term Investments has run from a low of $64.98 million in Q4 2017 to a high of $353.05 million in Q4 2019 over five years.
- On a year-over-year basis, Long-Term Investments has increased in each of the last three quarters, with growth averaging 85.7% over the last eight quarters.
- The strongest year-over-year quarter for Long-Term Investments in the past five years was Q4 2018, with growth of 261.8%; the weakest was Q2 2019, with a decline of 53.1%.
- According to Business Quant data, Long-Term Investments for the three prior quarters was $353.05 million (Q4 2019), $333.98 million (Q3 2019) and $101.96 million (Q2 2019).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Long-Term Investments (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,185.47 Bn | 3,943.00 Bn | 73.85 Bn | 131.46 Bn |
| 2 | Meta Platforms | 1,794.56 Bn | 1,497.08 Bn | 49.47 Bn | 30.16 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 | 29.95 Bn |
| 5 | Shopify | 221.57 Bn | 198.76 Bn | 1.71 Bn | 559.00 Mn |
| 6 | Uber Technologies | 142.45 Bn | 114.25 Bn | 6.38 Bn | 3.77 Bn |
| 7 | Booking Holdings | 124.83 Bn | 57.88 Bn | - | 448.00 Mn |
| 8 | PDD Holdings | 113.76 Bn | -130.01 Bn | 9.45 Bn | - |
| 9 | Spotify Technology | 106.73 Bn | 64.23 Bn | 1.86 Bn | 1.28 Bn |
| 10 | Match | 10.42 Bn | 6.72 Bn | 648.84 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2020 | 301.59 Mn |
| Dec 31, 2019 | 353.05 Mn |
| Sep 30, 2019 | 333.98 Mn |
| Jun 30, 2019 | 101.96 Mn |
| Mar 31, 2019 | 234.60 Mn |
| Dec 31, 2018 | 235.06 Mn |
| Sep 30, 2018 | 217.62 Mn |
| Jun 30, 2018 | 217.36 Mn |
| Mar 31, 2018 | 81.91 Mn |
| Dec 31, 2017 | 64.98 Mn |
| Sep 30, 2017 | 120.81 Mn |
| Jun 30, 2017 | 122.06 Mn |
| Mar 31, 2017 | 119.53 Mn |
| Dec 31, 2016 | 122.81 Mn |
| Sep 30, 2016 | 126.86 Mn |
| Jun 30, 2016 | 127.32 Mn |
| Mar 31, 2016 | 129.70 Mn |
| Dec 31, 2015 | 137.39 Mn |
| Sep 30, 2015 | 138.83 Mn |
| Jun 30, 2015 | 131.39 Mn |
API Access
Match Long-Term Investments 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=long-term-investments&ticker=MTCH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-investments", "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=long-term-investments&ticker=MTCH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();