Match (MTCH) Amortization - Intangibles (2009 - 2026)
Match (MTCH) reported Amortization - Intangibles of $8.53 million for Q2 2026, down 18.7% from $10.5 million a year earlier and down 74.7% from the prior quarter.
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Analysis
Match (MTCH) Amortization - Intangibles (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Match's Amortization - Intangibles came in at $59.87 million, down 18.9% year-over-year; for FY2025, it came in at $38.55 million, down 48.0% from FY2024.
- Amortization - Intangibles has a five-year compound annual growth rate of 38.6% (FY2020 to FY2025).
- By year, Amortization - Intangibles came in at $74.18 million in FY2024 (+55.4%), $47.73 million in FY2023 (-87.0%), $366.26 million in FY2022 and $28.56 million in FY2021 (+279.5%).
- The Q2 2026 figure ranks as the lowest quarterly Amortization - Intangibles since Q2 2021.
- Year over year, Amortization - Intangibles gained in three of the last eight quarters, with growth averaging 47.7%.
- The high point for year-over-year Amortization - Intangibles in five years was Q4 2022 (growth of 777.6%); the low point was Q2 2023 (a decline of 95.1%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $33.77 million (Q1 2026), $8.65 million (Q4 2025) and $8.92 million (Q3 2025).
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 |
|---|---|
| Jun 30, 2026 | 8.53 Mn |
| Mar 31, 2026 | 33.77 Mn |
| Dec 31, 2025 | 8.65 Mn |
| Sep 30, 2025 | 8.92 Mn |
| Jun 30, 2025 | 10.50 Mn |
| Mar 31, 2025 | 10.48 Mn |
| Dec 31, 2024 | 10.77 Mn |
| Sep 30, 2024 | 42.09 Mn |
| Jun 30, 2024 | 10.95 Mn |
| Mar 31, 2024 | 10.37 Mn |
| Dec 31, 2023 | 13.81 Mn |
| Sep 30, 2023 | 10.49 Mn |
| Jun 30, 2023 | 11.32 Mn |
| Mar 31, 2023 | 12.12 Mn |
| Dec 31, 2022 | 114.42 Mn |
| Sep 30, 2022 | 9.61 Mn |
| Jun 30, 2022 | 229.54 Mn |
| Mar 31, 2022 | 12.69 Mn |
| Dec 31, 2021 | 13.04 Mn |
| Sep 30, 2021 | 15.07 Mn |
API Access
Match Amortization - Intangibles 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=amortization-intangibles&ticker=MTCH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortization-intangibles", "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=amortization-intangibles&ticker=MTCH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();