Match (MTCH) Enterprise Value (2009 - 2026)
Match's (MTCH) quarterly Enterprise Value came in at $8.2 billion in Q2 2026, up 14.53% year-over-year from $7.1 billion in Q2 2025, and up 32.54% quarter-over-quarter from $6.2 billion in Q1 2026.
Match (MTCH) Enterprise Value (2009 - 2026) Analysis & Trends
Match has disclosed Enterprise Value across 18 years of filings, most recently posting $8.2 billion for Q2 2026.
- In Q2 2026, Enterprise Value rose 14.53% year-over-year to $8.2 billion; the TTM figure through Jun 2026 stood at $8.2 billion (up 14.53% YoY), while the FY2025 annual figure was $6.5 billion, down 10.71% from the prior year.
- Enterprise Value came in at $8.2 billion for Q2 2026 at Match, up from $6.2 billion in the prior quarter.
- In the past five years, Enterprise Value ranged from a high of $30.1 billion in Q1 2022 to a low of $6.2 billion in Q1 2026.
- Average Enterprise Value over 5 years is $10.4 billion, with a median of $8.7 billion recorded in 2024.
- Year-over-year, Enterprise Value plunged 69.94% in 2022 and increased 14.53% in 2026.
- Over 5 years, Enterprise Value stood at $11.0 billion in 2022, then slipped by 18.83% to $8.9 billion in 2023, then dropped by 18.91% to $7.3 billion in 2024, then declined by 10.71% to $6.5 billion in 2025, then rose by 26.04% to $8.2 billion in 2026.
- Per Business Quant data, the three most recent Enterprise Value figures were $8.2 billion in Q2 2026, $6.2 billion in Q1 2026, and $6.5 billion in Q4 2025.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Meta Platforms | 1,888.68 Bn | 1,798.42 Bn | 49.47 Bn |
| 2 | 30.53 Bn | 27.74 Bn | 734.60 Mn | |
| 3 | Bilibili | 12.72 Bn | 10.58 Bn | 433.97 Mn |
| 4 | 10.94 Bn | 9.67 Bn | 922.30 Mn | |
| 5 | Match | 9.92 Bn | 9.34 Bn | 648.84 Mn |
| 6 | Snap | 9.84 Bn | 7.18 Bn | 931.11 Mn |
| 7 | Rum | 5.42 Bn | 5.31 Bn | - |
| 8 | Sound | 4.74 Bn | 4.63 Bn | - |
| 9 | Joyy | 4.18 Bn | 3.87 Bn | 201.60 Mn |
| 10 | Grindr | 2.76 Bn | 2.76 Bn | 103.57 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 8.16 Bn |
| Mar 31, 2026 | 6.16 Bn |
| Dec 31, 2025 | 6.48 Bn |
| Sep 30, 2025 | 7.39 Bn |
| Jun 30, 2025 | 7.13 Bn |
| Mar 31, 2025 | 7.34 Bn |
| Dec 31, 2024 | 7.25 Bn |
| Sep 30, 2024 | 8.75 Bn |
| Jun 30, 2024 | 7.06 Bn |
| Mar 31, 2024 | 8.71 Bn |
| Dec 31, 2023 | 8.95 Bn |
| Sep 30, 2023 | 9.93 Bn |
| Jun 30, 2023 | 10.89 Bn |
| Mar 31, 2023 | 10.11 Bn |
| Dec 31, 2022 | 11.02 Bn |
| Sep 30, 2022 | 12.94 Bn |
| Jun 30, 2022 | 19.26 Bn |
| Mar 31, 2022 | 30.13 Bn |
| Dec 31, 2021 | 36.67 Bn |
| Sep 30, 2021 | 43.01 Bn |
Match Enterprise Value 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=enterprise-value&ticker=MTCH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=MTCH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();