Match (MTCH) Shares Outstanding (2009 - 2026)
Match (MTCH) reported Shares Outstanding of 232.5 million for Q2 2026, down 4.9% from 244.37 million a year earlier and down 0.4% from the prior quarter.
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Analysis
Match (MTCH) Shares Outstanding (2009 - 2026) Analysis & Trends
For FY2025, Match posted Shares Outstanding of 242.68 million, down 6.8% from FY2024.
- Shares Outstanding has declined for three consecutive years, though with a five-year compound annual growth rate of 1.7% (FY2020 to FY2025).
- By year, Shares Outstanding came in at 260.3 million in FY2024 (-5.6%), 275.77 million in FY2023 (-2.4%), 282.56 million in FY2022 (+2.7%) and 275 million in FY2021 (+23.1%).
- The Q2 2026 figure ranks as the lowest quarterly Shares Outstanding since Q4 2020.
- Year over year, Shares Outstanding has now declined in each of the last 14 quarters, with an average decline of 6.4% over the last eight quarters.
- The high point for year-over-year Shares Outstanding in five years was Q4 2021 (growth of 23.1%); the low point was Q2 2025 (a decline of 7.6%).
- Per Business Quant data, the three quarters before Q2 2026 came in at 233.44 million (Q1 2026), 242.68 million (Q4 2025) and 240.51 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,185.47 Bn | 3,943.00 Bn | 73.85 Bn | 12.15 Bn |
| 2 | Meta Platforms | 1,794.56 Bn | 1,497.08 Bn | 49.47 Bn | 2.54 Bn |
| 3 | Netflix | 292.71 Bn | 252.90 Bn | 6.52 Bn | 4.19 Bn |
| 4 | Alibaba Group Holding | 251.74 Bn | 65.51 Bn | 15.11 Bn | 2.32 Bn |
| 5 | Shopify | 221.57 Bn | 198.76 Bn | 1.71 Bn | 1.30 Bn |
| 6 | Uber Technologies | 142.45 Bn | 114.25 Bn | 6.38 Bn | 2.04 Bn |
| 7 | Booking Holdings | 124.83 Bn | 57.88 Bn | - | 768.00 Mn |
| 8 | PDD Holdings | 113.76 Bn | -130.01 Bn | 9.45 Bn | 1.40 Bn |
| 9 | Spotify Technology | 106.73 Bn | 64.23 Bn | 1.86 Bn | 205.41 Mn |
| 10 | Match | 10.42 Bn | 6.72 Bn | 648.84 Mn | 232.50 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 232.50 Mn |
| Mar 31, 2026 | 233.44 Mn |
| Dec 31, 2025 | 242.68 Mn |
| Sep 30, 2025 | 240.51 Mn |
| Jun 30, 2025 | 244.37 Mn |
| Mar 31, 2025 | 251.13 Mn |
| Dec 31, 2024 | 260.30 Mn |
| Sep 30, 2024 | 257.07 Mn |
| Jun 30, 2024 | 264.40 Mn |
| Mar 31, 2024 | 268.14 Mn |
| Dec 31, 2023 | 275.77 Mn |
| Sep 30, 2023 | 275.22 Mn |
| Jun 30, 2023 | 278.13 Mn |
| Mar 31, 2023 | 279.26 Mn |
| Dec 31, 2022 | 282.56 Mn |
| Sep 30, 2022 | 281.31 Mn |
| Jun 30, 2022 | 285.13 Mn |
| Mar 31, 2022 | 284.46 Mn |
| Dec 31, 2021 | 275.00 Mn |
| Sep 30, 2021 | 276.96 Mn |
API Access
Match Shares Outstanding 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=shares-outstanding&ticker=MTCH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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=shares-outstanding&ticker=MTCH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();