Match (MTCH) Total Non-Current Liabilities (2009 - 2026)
Match's Total Non-Current Liabilities came in at $4.15 billion for Q2 2026, up 3.5% from $4.01 billion a year earlier but down 7.8% from the prior quarter.
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Analysis
Match (MTCH) Total Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Match's Total Non-Current Liabilities was $4.61 billion, up 3.7% from FY2024.
- Total Non-Current Liabilities carries a five-year compound annual growth rate of 1.1% (FY2020 to FY2025).
- Going back by year, Total Non-Current Liabilities was $4.44 billion in FY2024 (+0.4%), $4.43 billion in FY2023 (-0.3%), $4.44 billion in FY2022 (-13.7%) and $5.14 billion in FY2021 (+17.6%).
- The five-year range for quarterly Total Non-Current Liabilities is $3.99 billion (Q1 2025) to $5.14 billion (Q4 2021).
- Year-over-year, Total Non-Current Liabilities has increased for four consecutive quarters, with growth averaging 0.9% over the last eight quarters.
- The fastest year-over-year change in Total Non-Current Liabilities over five years came in Q4 2021 (growth of 17.6%), and the weakest in Q4 2022 (a decline of 13.7%).
- Business Quant data shows MTCH's Total Non-Current Liabilities at $4.5 billion (Q1 2026), $4.61 billion (Q4 2025) and $4.68 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,185.47 Bn | 3,943.00 Bn | 73.85 Bn | 261.69 Bn |
| 2 | Meta Platforms | 1,794.56 Bn | 1,497.08 Bn | 49.47 Bn | 166.27 Bn |
| 3 | Netflix | 292.71 Bn | 252.90 Bn | 6.52 Bn | 25.59 Bn |
| 4 | Alibaba Group Holding | 251.74 Bn | 65.51 Bn | 15.11 Bn | 122.05 Bn |
| 5 | Shopify | 221.57 Bn | 198.76 Bn | 1.71 Bn | 326.00 Mn |
| 6 | Uber Technologies | 142.45 Bn | 114.25 Bn | 6.38 Bn | 37.14 Bn |
| 7 | Booking Holdings | 124.83 Bn | 57.88 Bn | - | 39.77 Bn |
| 8 | PDD Holdings | 113.76 Bn | -130.01 Bn | 9.45 Bn | 428.00 Mn |
| 9 | Spotify Technology | 106.73 Bn | 64.23 Bn | 1.86 Bn | 6.10 Bn |
| 10 | Match | 10.42 Bn | 6.72 Bn | 648.84 Mn | 4.11 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.11 Bn |
| Mar 31, 2026 | 4.46 Bn |
| Dec 31, 2025 | 4.57 Bn |
| Sep 30, 2025 | 4.64 Bn |
| Jun 30, 2025 | 3.97 Bn |
| Mar 31, 2025 | 3.95 Bn |
| Dec 31, 2024 | 4.41 Bn |
| Sep 30, 2024 | 4.39 Bn |
| Jun 30, 2024 | 4.38 Bn |
| Mar 31, 2024 | 4.38 Bn |
| Dec 31, 2023 | 4.40 Bn |
| Sep 30, 2023 | 4.44 Bn |
| Jun 30, 2023 | 4.40 Bn |
| Mar 31, 2023 | 4.42 Bn |
| Dec 31, 2022 | 4.42 Bn |
| Sep 30, 2022 | 4.49 Bn |
| Jun 30, 2022 | 4.52 Bn |
| Mar 31, 2022 | 5.03 Bn |
| Dec 31, 2021 | 5.13 Bn |
| Sep 30, 2021 | 4.82 Bn |
API Access
Match Total 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=total-non-current-liabilities&ticker=MTCH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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=total-non-current-liabilities&ticker=MTCH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();