Match (MTCH) Total Current Liabilities (2009 - 2026)
Match's Total Current Liabilities came in at $552.37 million for Q2 2026, down 50.0% from $1.11 billion a year earlier and down 39.1% from the prior quarter.
Match (MTCH) Total Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Match's Total Current Liabilities was $1.01 billion, up 83.2% from FY2024.
- Total Current Liabilities carries a five-year compound annual growth rate of 15.0% (FY2020 to FY2025).
- Going back by year, Total Current Liabilities was $549.46 million in FY2024 (+3.3%), $531.77 million in FY2023 (-4.4%), $556.35 million in FY2022 (-52.4%) and $1.17 billion in FY2021 (+133.6%).
- The Q2 2026 figure represents the lowest quarterly Total Current Liabilities since Q1 2025.
- Year-over-year, Total Current Liabilities increased in five of the last eight quarters, with growth averaging 40.7%.
- The fastest year-over-year change in Total Current Liabilities over five years came in Q4 2021 (growth of 133.6%), and the weakest in Q4 2022 (a decline of 52.4%).
- Business Quant data shows MTCH's Total Current Liabilities at $906.59 million (Q1 2026), $1.01 billion (Q4 2025) and $1.08 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,185.47 Bn | 3,943.00 Bn | 73.85 Bn | 126.11 Bn |
| 2 | Meta Platforms | 1,794.56 Bn | 1,497.08 Bn | 49.47 Bn | 56.38 Bn |
| 3 | Netflix | 292.71 Bn | 252.90 Bn | 6.52 Bn | 12.13 Bn |
| 4 | Alibaba Group Holding | 251.74 Bn | 65.51 Bn | 15.11 Bn | 78.45 Bn |
| 5 | Shopify | 221.57 Bn | 198.76 Bn | 1.71 Bn | 1.46 Bn |
| 6 | Uber Technologies | 142.45 Bn | 114.25 Bn | 6.38 Bn | 14.87 Bn |
| 7 | Booking Holdings | 124.83 Bn | 57.88 Bn | - | 21.07 Bn |
| 8 | PDD Holdings | 113.76 Bn | -130.01 Bn | 9.45 Bn | 31.35 Bn |
| 9 | Spotify Technology | 106.73 Bn | 64.23 Bn | 1.86 Bn | 51.40 Mn |
| 10 | Match | 10.42 Bn | 6.72 Bn | 648.84 Mn | 552.37 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 552.37 Mn |
| Mar 31, 2026 | 906.59 Mn |
| Dec 31, 2025 | 1.01 Bn |
| Sep 30, 2025 | 1.08 Bn |
| Jun 30, 2025 | 1.11 Bn |
| Mar 31, 2025 | 512.37 Mn |
| Dec 31, 2024 | 549.46 Mn |
| Sep 30, 2024 | 530.29 Mn |
| Jun 30, 2024 | 512.34 Mn |
| Mar 31, 2024 | 518.89 Mn |
| Dec 31, 2023 | 531.77 Mn |
| Sep 30, 2023 | 570.14 Mn |
| Jun 30, 2023 | 534.16 Mn |
| Mar 31, 2023 | 552.37 Mn |
| Dec 31, 2022 | 556.35 Mn |
| Sep 30, 2022 | 601.74 Mn |
| Jun 30, 2022 | 627.69 Mn |
| Mar 31, 2022 | 1.07 Bn |
| Dec 31, 2021 | 1.17 Bn |
| Sep 30, 2021 | 747.95 Mn |
Match Total 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-current-liabilities&ticker=MTCH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-current-liabilities&ticker=MTCH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();