Match (MTCH) Receivables (2009 - 2026)
Match (MTCH) posted Receivables of $279.31 million for Q2 2026, down 18.4% from $342.3 million a year earlier and down 4.7% from the prior quarter.
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Analysis
Match (MTCH) Receivables (2009 - 2026) Analysis & Trends
At the end of FY2025, Match's Receivables came in at $303.5 million, down 6.6% from FY2024.
- Annual Receivables shows a five-year compound annual growth rate of 17.2% (FY2020 to FY2025).
- In prior years, Match's Receivables was $324.96 million in FY2024 (+8.8%), $298.65 million in FY2023 (+55.6%), $191.94 million in FY2022 (+1.8%) and $188.48 million in FY2021 (+37.6%).
- The Q2 2026 figure stands as the lowest quarterly Receivables since Q1 2024.
- On a year-over-year basis, Receivables has declined in each of the last three quarters, with growth averaging 5.4% over the last eight quarters.
- The strongest year-over-year quarter for Receivables in the past five years was Q3 2023, with growth of 65.1%; the weakest was Q2 2022, with a decline of 29.7%.
- According to Business Quant data, Receivables for the three prior quarters was $293.19 million (Q1 2026), $303.5 million (Q4 2025) and $344.44 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,185.47 Bn | 3,943.00 Bn | 73.85 Bn | 69.18 Bn |
| 2 | Meta Platforms | 1,794.56 Bn | 1,497.08 Bn | 49.47 Bn | 21.75 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 | 466.00 Mn |
| 6 | Uber Technologies | 142.45 Bn | 114.25 Bn | 6.38 Bn | 4.30 Bn |
| 7 | Booking Holdings | 124.83 Bn | 57.88 Bn | - | 4.34 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 | 890.92 Mn |
| 10 | Match | 10.42 Bn | 6.72 Bn | 648.84 Mn | 279.31 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 279.31 Mn |
| Mar 31, 2026 | 293.19 Mn |
| Dec 31, 2025 | 303.50 Mn |
| Sep 30, 2025 | 344.44 Mn |
| Jun 30, 2025 | 342.30 Mn |
| Mar 31, 2025 | 323.35 Mn |
| Dec 31, 2024 | 324.96 Mn |
| Sep 30, 2024 | 340.09 Mn |
| Jun 30, 2024 | 324.27 Mn |
| Mar 31, 2024 | 225.13 Mn |
| Dec 31, 2023 | 298.65 Mn |
| Sep 30, 2023 | 288.08 Mn |
| Jun 30, 2023 | 272.31 Mn |
| Mar 31, 2023 | 256.88 Mn |
| Dec 31, 2022 | 191.94 Mn |
| Sep 30, 2022 | 174.45 Mn |
| Jun 30, 2022 | 182.32 Mn |
| Mar 31, 2022 | 180.58 Mn |
| Dec 31, 2021 | 188.48 Mn |
| Sep 30, 2021 | 182.08 Mn |
API Access
Match Receivables 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=receivables&ticker=MTCH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=MTCH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();