Match (MTCH) Capital Expenditures (2009 - 2026)
Match (MTCH) posted Capital Expenditures of $17.31 million for Q2 2026, up 34.5% from $12.87 million a year earlier but down 15.1% from the prior quarter.
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Analysis
Match (MTCH) Capital Expenditures (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Capital Expenditures at Match was $66.17 million, up 35.1% year-over-year; for FY2025, it came in at $56.77 million, up 12.2% from FY2024.
- Annual Capital Expenditures shows a five-year compound annual growth rate of 6.0% (FY2020 to FY2025).
- In prior years, Match's Capital Expenditures was $50.58 million in FY2024 (-25.0%), $67.41 million in FY2023 (+37.2%), $49.13 million in FY2022 (-38.6%) and $79.97 million in FY2021 (+88.7%).
- Quarterly Capital Expenditures has run from a low of $7.57 million in Q4 2024 to a high of $27.16 million in Q4 2021 over five years.
- On a year-over-year basis, Capital Expenditures has increased in each of the last five quarters, with growth averaging 13.1% over the last eight quarters.
- The strongest year-over-year quarter for Capital Expenditures in the past five years was Q4 2021, with growth of 171.6%; the weakest was Q4 2022, with a decline of 60.4%.
- According to Business Quant data, Capital Expenditures for the three prior quarters was $20.38 million (Q1 2026), $14.67 million (Q4 2025) and $13.8 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,175.81 Bn | 3,933.34 Bn | 73.85 Bn | 44.92 Bn |
| 2 | Meta Platforms | 1,764.36 Bn | 1,466.88 Bn | 49.47 Bn | 30.12 Bn |
| 3 | Netflix | 293.90 Bn | 254.10 Bn | 6.52 Bn | 218.64 Mn |
| 4 | Alibaba Group Holding | 252.26 Bn | 66.03 Bn | 15.11 Bn | -9.97 Bn |
| 5 | Shopify | 225.58 Bn | 202.77 Bn | 1.71 Bn | 4.00 Mn |
| 6 | Uber Technologies | 141.35 Bn | 113.15 Bn | 6.38 Bn | 70.00 Mn |
| 7 | Booking Holdings | 126.10 Bn | 59.15 Bn | - | 76.00 Mn |
| 8 | PDD Holdings | 113.26 Bn | -130.52 Bn | 9.45 Bn | - |
| 9 | Spotify Technology | 110.01 Bn | 67.51 Bn | 1.86 Bn | -23.25 Mn |
| 10 | Match | 10.53 Bn | 6.84 Bn | 648.84 Mn | 17.31 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 17.31 Mn |
| Mar 31, 2026 | 20.38 Mn |
| Dec 31, 2025 | 14.67 Mn |
| Sep 30, 2025 | 13.80 Mn |
| Jun 30, 2025 | 12.87 Mn |
| Mar 31, 2025 | 15.43 Mn |
| Dec 31, 2024 | 7.57 Mn |
| Sep 30, 2024 | 13.11 Mn |
| Jun 30, 2024 | 12.67 Mn |
| Mar 31, 2024 | 17.23 Mn |
| Dec 31, 2023 | 17.39 Mn |
| Sep 30, 2023 | 12.56 Mn |
| Jun 30, 2023 | 17.61 Mn |
| Mar 31, 2023 | 19.84 Mn |
| Dec 31, 2022 | 10.75 Mn |
| Sep 30, 2022 | 11.07 Mn |
| Jun 30, 2022 | 9.65 Mn |
| Mar 31, 2022 | 17.66 Mn |
| Dec 31, 2021 | 27.16 Mn |
| Sep 30, 2021 | 20.42 Mn |
API Access
Match Capital Expenditures 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=capital-expenditures&ticker=MTCH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=MTCH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();