Match (MTCH) Other Non-Current Assets (2009 - 2026)
Match's Other Non-Current Assets was $266.82 million in Q2 2026, up 127.0% from $117.55 million a year earlier and up 64.9% from the prior quarter.
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Analysis
Match (MTCH) Other Non-Current Assets (2009 - 2026) Analysis & Trends
At the end of FY2025, Other Non-Current Assets at Match came in at $154.02 million, up 27.2% from FY2024.
- Other Non-Current Assets shows a five-year compound annual growth rate of 4.5% (FY2020 to FY2025).
- In earlier years, Other Non-Current Assets was $121.09 million in FY2024 (-9.6%), $133.89 million in FY2023 (-5.2%), $141.18 million in FY2022 (-13.5%) and $163.15 million in FY2021 (+32.1%).
- The Q2 2026 figure marks the highest quarterly Other Non-Current Assets since Q1 2020.
- Compared with a year earlier, Other Non-Current Assets has increased for three straight quarters, with growth averaging 17.4% over the last eight quarters.
- The best year-over-year quarter for Other Non-Current Assets over five years was Q2 2026 (growth of 127.0%); the worst was Q1 2025 (a decline of 16.6%).
- Per Business Quant data, MTCH's Other Non-Current Assets in the three quarters before Q2 2026 was $161.82 million (Q1 2026), $154.02 million (Q4 2025) and $117.96 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Other Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,185.47 Bn | 3,943.00 Bn | 73.85 Bn | 39.71 Bn |
| 2 | Meta Platforms | 1,794.56 Bn | 1,497.08 Bn | 49.47 Bn | 21.21 Bn |
| 3 | Netflix | 292.71 Bn | 252.90 Bn | 6.52 Bn | 8.36 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 | 25.00 Mn |
| 6 | Uber Technologies | 142.45 Bn | 114.25 Bn | 6.38 Bn | 7.12 Bn |
| 7 | Booking Holdings | 124.83 Bn | 57.88 Bn | - | 1.29 Bn |
| 8 | PDD Holdings | 113.76 Bn | -130.01 Bn | 9.45 Bn | 14.21 Bn |
| 9 | Spotify Technology | 106.73 Bn | 64.23 Bn | 1.86 Bn | 63.96 Mn |
| 10 | Match | 10.42 Bn | 6.72 Bn | 648.84 Mn | 266.82 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 266.82 Mn |
| Mar 31, 2026 | 161.82 Mn |
| Dec 31, 2025 | 154.02 Mn |
| Sep 30, 2025 | 117.96 Mn |
| Jun 30, 2025 | 117.55 Mn |
| Mar 31, 2025 | 118.74 Mn |
| Dec 31, 2024 | 121.09 Mn |
| Sep 30, 2024 | 127.46 Mn |
| Jun 30, 2024 | 135.60 Mn |
| Mar 31, 2024 | 142.36 Mn |
| Dec 31, 2023 | 133.89 Mn |
| Sep 30, 2023 | 133.41 Mn |
| Jun 30, 2023 | 141.75 Mn |
| Mar 31, 2023 | 144.69 Mn |
| Dec 31, 2022 | 141.18 Mn |
| Sep 30, 2022 | 138.78 Mn |
| Jun 30, 2022 | 149.14 Mn |
| Mar 31, 2022 | 168.67 Mn |
| Dec 31, 2021 | 163.15 Mn |
| Sep 30, 2021 | 165.43 Mn |
API Access
Match Other Non-Current Assets 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=other-non-current-assets&ticker=MTCH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-current-assets", "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=other-non-current-assets&ticker=MTCH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();