Match (MTCH) Other Non-Current Liabilities (2009 - 2026)
Match's Other Non-Current Liabilities was $116.36 million in Q2 2026, up 35.3% from $85.98 million a year earlier but down 4.1% from the prior quarter.
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Analysis
Match (MTCH) Other Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Other Non-Current Liabilities at Match came in at $104.31 million, up 21.5% from FY2024.
- Other Non-Current Liabilities shows a five-year compound annual growth rate of 3.8% (FY2020 to FY2025).
- In earlier years, Other Non-Current Liabilities was $85.88 million in FY2024 (-15.6%), $101.79 million in FY2023 (-1.8%), $103.65 million in FY2022 (-10.7%) and $116.05 million in FY2021 (+34.3%).
- Quarterly Other Non-Current Liabilities has moved between $84.17 million (Q1 2025) and $123.4 million (Q1 2022) over five years.
- Compared with a year earlier, Other Non-Current Liabilities has increased for three straight quarters, with growth averaging 6.2% over the last eight quarters.
- The best year-over-year quarter for Other Non-Current Liabilities over five years was Q3 2021 (growth of 71.1%); the worst was Q1 2025 (a decline of 17.2%).
- Per Business Quant data, MTCH's Other Non-Current Liabilities in the three quarters before Q2 2026 was $121.33 million (Q1 2026), $104.31 million (Q4 2025) and $91.85 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 | 165.17 Mn |
| Mar 31, 2026 | 167.21 Mn |
| Dec 31, 2025 | 147.83 Mn |
| Sep 30, 2025 | 123.40 Mn |
| Jun 30, 2025 | 125.37 Mn |
| Mar 31, 2025 | 121.16 Mn |
| Dec 31, 2024 | 119.21 Mn |
| Sep 30, 2024 | 123.38 Mn |
| Jun 30, 2024 | 123.66 Mn |
| Mar 31, 2024 | 126.26 Mn |
| Dec 31, 2023 | 126.65 Mn |
| Sep 30, 2023 | 110.57 Mn |
| Jun 30, 2023 | 114.61 Mn |
| Mar 31, 2023 | 118.30 Mn |
| Dec 31, 2022 | 116.93 Mn |
| Sep 30, 2022 | 121.55 Mn |
| Jun 30, 2022 | 122.09 Mn |
| Mar 31, 2022 | 136.15 Mn |
| Dec 31, 2021 | 129.89 Mn |
| Sep 30, 2021 | 133.54 Mn |
API Access
Match Other Non-Current Liabilities 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-liabilities&ticker=MTCH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-current-liabilities", "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-liabilities&ticker=MTCH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();