Match (MTCH) Tax Provisions (2009 - 2026)
Match (MTCH) posted Tax Provisions of $44.1 million for Q2 2026, up 36.8% from $32.23 million a year earlier and up 30.9% from the prior quarter.
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Analysis
Match (MTCH) Tax Provisions (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Tax Provisions at Match was $155.74 million, up 15.3% year-over-year; for FY2025, it came in at $132.54 million, down 13.2% from FY2024.
- Annual Tax Provisions shows a five-year compound annual growth rate of 25.1% (FY2020 to FY2025).
- In prior years, Match's Tax Provisions was $152.74 million in FY2024 (+21.9%), $125.31 million in FY2023 (+715.8%), $15.36 million in FY2022 and -$19.9 million in FY2021.
- Quarterly Tax Provisions has run from a low of -$58.1 million in Q4 2021 to a high of $47.9 million in Q3 2022 over five years.
- On a year-over-year basis, Tax Provisions has increased in each of the last three quarters, with growth averaging 2.8% over the last seven quarters.
- The strongest year-over-year quarter for Tax Provisions in the past five years was Q3 2022, with growth of 157.2%; the weakest was Q3 2021, with a decline of 28.7%.
- According to Business Quant data, Tax Provisions for the three prior quarters was $33.7 million (Q1 2026), $45.04 million (Q4 2025) and $32.9 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,185.47 Bn | 3,943.00 Bn | 73.85 Bn | 26.56 Bn |
| 2 | Meta Platforms | 1,794.56 Bn | 1,497.08 Bn | 49.47 Bn | 2.91 Bn |
| 3 | Netflix | 292.71 Bn | 252.90 Bn | 6.52 Bn | 667.17 Mn |
| 4 | Alibaba Group Holding | 251.74 Bn | 65.51 Bn | 15.11 Bn | -1.89 Bn |
| 5 | Shopify | 221.57 Bn | 198.76 Bn | 1.71 Bn | 273.00 Mn |
| 6 | Uber Technologies | 142.45 Bn | 114.25 Bn | 6.38 Bn | 840.00 Mn |
| 7 | Booking Holdings | 124.83 Bn | 57.88 Bn | - | 610.00 Mn |
| 8 | PDD Holdings | 113.76 Bn | -130.01 Bn | 9.45 Bn | -898.00 Mn |
| 9 | Spotify Technology | 106.73 Bn | 64.23 Bn | 1.86 Bn | 203.41 Mn |
| 10 | Match | 10.42 Bn | 6.72 Bn | 648.84 Mn | 44.10 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 44.10 Mn |
| Mar 31, 2026 | 33.70 Mn |
| Dec 31, 2025 | 45.04 Mn |
| Sep 30, 2025 | 32.90 Mn |
| Jun 30, 2025 | 32.23 Mn |
| Mar 31, 2025 | 22.40 Mn |
| Dec 31, 2024 | 39.24 Mn |
| Sep 30, 2024 | 41.20 Mn |
| Jun 30, 2024 | 41.70 Mn |
| Mar 31, 2024 | 30.63 Mn |
| Dec 31, 2023 | -4.80 Mn |
| Sep 30, 2023 | 47.33 Mn |
| Jun 30, 2023 | 41.14 Mn |
| Mar 31, 2023 | 41.64 Mn |
| Dec 31, 2022 | -17.64 Mn |
| Sep 30, 2022 | 47.90 Mn |
| Jun 30, 2022 | -8.05 Mn |
| Mar 31, 2022 | -6.90 Mn |
| Dec 31, 2021 | -58.10 Mn |
| Sep 30, 2021 | 18.63 Mn |
API Access
Match Tax Provisions 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=tax-provisions&ticker=MTCH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=MTCH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();