Match (MTCH) Total Liabilities (2009 - 2026)
Match's (MTCH) quarterly Total Liabilities came in at $4.3 billion in Q2 2026, up 4.21% year-over-year from $4.1 billion in Q2 2025, and down 7.68% quarter-over-quarter from $4.6 billion in Q1 2026.
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Analysis
Match (MTCH) Total Liabilities (2009 - 2026) Analysis & Trends
Match has disclosed Total Liabilities across 18 years of filings, most recently posting $4.3 billion for Q2 2026.
- In Q2 2026, Total Liabilities rose 4.21% year-over-year to $4.3 billion; the TTM figure through Jun 2026 stood at $4.3 billion (up 4.21% YoY), while the FY2025 annual figure was $4.7 billion, up 4.08% from the prior year.
- Total Liabilities came in at $4.3 billion for Q2 2026 at Match, down from $4.6 billion in the prior quarter.
- In the past five years, Total Liabilities ranged from a high of $5.2 billion in Q1 2022 to a low of $4.1 billion in Q1 2025.
- Average Total Liabilities over 5 years is $4.5 billion, with a median of $4.5 billion recorded in 2023.
- The largest YoY upside for Total Liabilities was 16.66% in 2022 against a maximum downside of 13.64% in 2022.
- Over 5 years, Total Liabilities stood at $4.5 billion in 2022, then declined by 0.32% to $4.5 billion in 2023, then increased by 0.05% to $4.5 billion in 2024, then gained by 4.08% to $4.7 billion in 2025, then declined by 9.4% to $4.3 billion in 2026.
- Per Business Quant data, the three most recent Total Liabilities figures were $4.3 billion in Q2 2026, $4.6 billion in Q1 2026, and $4.7 billion in Q4 2025.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Meta Platforms | 1,888.68 Bn | 1,798.42 Bn | 49.47 Bn | 188.74 Bn |
| 2 | 30.53 Bn | 27.74 Bn | 734.60 Mn | 350.91 Mn | |
| 3 | Bilibili | 12.72 Bn | 10.58 Bn | 433.97 Mn | 3.90 Bn |
| 4 | 10.94 Bn | 9.67 Bn | 922.30 Mn | 1.87 Bn | |
| 5 | Match | 9.92 Bn | 9.34 Bn | 648.84 Mn | 4.27 Bn |
| 6 | Snap | 9.84 Bn | 7.18 Bn | 931.11 Mn | 5.54 Bn |
| 7 | Rum | 5.42 Bn | 5.31 Bn | - | 698.47 Mn |
| 8 | Sound | 4.74 Bn | 4.63 Bn | - | 54.00 Mn |
| 9 | Joyy | 4.18 Bn | 3.87 Bn | 201.60 Mn | 1.04 Bn |
| 10 | Grindr | 2.76 Bn | 2.76 Bn | 103.57 Mn | 474.58 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.27 Bn |
| Mar 31, 2026 | 4.63 Bn |
| Dec 31, 2025 | 4.71 Bn |
| Sep 30, 2025 | 4.77 Bn |
| Jun 30, 2025 | 4.10 Bn |
| Mar 31, 2025 | 4.07 Bn |
| Dec 31, 2024 | 4.53 Bn |
| Sep 30, 2024 | 4.51 Bn |
| Jun 30, 2024 | 4.50 Bn |
| Mar 31, 2024 | 4.51 Bn |
| Dec 31, 2023 | 4.53 Bn |
| Sep 30, 2023 | 4.55 Bn |
| Jun 30, 2023 | 4.52 Bn |
| Mar 31, 2023 | 4.54 Bn |
| Dec 31, 2022 | 4.54 Bn |
| Sep 30, 2022 | 4.61 Bn |
| Jun 30, 2022 | 4.65 Bn |
| Mar 31, 2022 | 5.17 Bn |
| Dec 31, 2021 | 5.26 Bn |
| Sep 30, 2021 | 4.95 Bn |
API Access
Match Total 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-liabilities&ticker=MTCH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=MTCH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();