Match (MTCH) Intangibles (2009 - 2026)
Match (MTCH) recorded Intangibles of $152.99 million in Q2 2026, down 26.4% from $207.85 million a year earlier but up 0.4% from the prior quarter.
Analysis
Match (MTCH) Intangibles (2009 - 2026) Analysis & Trends
At the end of FY2025, Match reported Intangibles of $192.93 million, down 10.5% from FY2024.
- Annual Intangibles has declined for four straight years, with a five-year compound annual growth rate of -3.5% (FY2020 to FY2025).
- Across earlier years, Intangibles came in at $215.45 million in FY2024 (-29.5%), $305.75 million in FY2023 (-14.5%), $357.75 million in FY2022 (-53.6%) and $771.7 million in FY2021 (+234.2%).
- Quarterly Intangibles has ranged from $152.41 million in Q1 2026 to $793 million in Q3 2021 over the past five years.
- On a year-over-year basis, Intangibles has declined for 16 consecutive quarters, with an average decline of 23.2% over the last eight quarters.
- Peak year-over-year performance for Intangibles in the last five years was growth of 250.7% in Q3 2021, against a decline of 54.4% in Q1 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $152.41 million (Q1 2026), $192.93 million (Q4 2025) and $198.34 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,185.47 Bn | 3,943.00 Bn | 73.85 Bn | 9.11 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 | 2.46 Bn |
| 5 | Shopify | 221.57 Bn | 198.76 Bn | 1.71 Bn | 27.00 Mn |
| 6 | Uber Technologies | 142.45 Bn | 114.25 Bn | 6.38 Bn | 1.13 Bn |
| 7 | Booking Holdings | 124.83 Bn | 57.88 Bn | - | 852.00 Mn |
| 8 | PDD Holdings | 113.76 Bn | -130.01 Bn | 9.45 Bn | 2.00 Mn |
| 9 | Spotify Technology | 106.73 Bn | 64.23 Bn | 1.86 Bn | 41.12 Mn |
| 10 | Match | 10.42 Bn | 6.72 Bn | 648.84 Mn | 152.99 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 152.99 Mn |
| Mar 31, 2026 | 152.41 Mn |
| Dec 31, 2025 | 192.93 Mn |
| Sep 30, 2025 | 198.34 Mn |
| Jun 30, 2025 | 207.85 Mn |
| Mar 31, 2025 | 207.03 Mn |
| Dec 31, 2024 | 215.45 Mn |
| Sep 30, 2024 | 241.23 Mn |
| Jun 30, 2024 | 275.72 Mn |
| Mar 31, 2024 | 287.53 Mn |
| Dec 31, 2023 | 305.75 Mn |
| Sep 30, 2023 | 310.71 Mn |
| Jun 30, 2023 | 326.23 Mn |
| Mar 31, 2023 | 340.08 Mn |
| Dec 31, 2022 | 357.75 Mn |
| Sep 30, 2022 | 439.07 Mn |
| Jun 30, 2022 | 479.39 Mn |
| Mar 31, 2022 | 746.11 Mn |
| Dec 31, 2021 | 771.70 Mn |
| Sep 30, 2021 | 793.00 Mn |
API Access
Match 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=intangibles&ticker=MTCH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=intangibles&ticker=MTCH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();