Match (MTCH) Shares Outstanding (Diluted) (2009 - 2026)
Match's Shares Outstanding (Diluted) was 247.76 million in Q2 2026, down 6.1% from 263.77 million a year earlier and down 1.5% from the prior quarter.
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Analysis
Match (MTCH) Shares Outstanding (Diluted) (2009 - 2026) Analysis & Trends
For FY2025, Shares Outstanding (Diluted) at Match came in at 262.48 million, down 5.9% from FY2024.
- Shares Outstanding (Diluted) has now declined for four consecutive years, though with a five-year compound annual growth rate of 1.6% (FY2020 to FY2025).
- In earlier years, Shares Outstanding (Diluted) was 279.06 million in FY2024 (-4.8%), 293.28 million in FY2023 (-0.7%), 295.22 million in FY2022 (-3.2%) and 304.84 million in FY2021 (+25.7%).
- The Q2 2026 figure marks the lowest quarterly Shares Outstanding (Diluted) since Q4 2020.
- Compared with a year earlier, Shares Outstanding (Diluted) has declined for 12 straight quarters, with an average decline of 5.9% over the last eight quarters.
- The best year-over-year quarter for Shares Outstanding (Diluted) over five years was Q4 2021 (growth of 25.7%); the worst was Q2 2022 (a decline of 8.3%).
- Per Business Quant data, MTCH's Shares Outstanding (Diluted) in the three quarters before Q2 2026 was 251.48 million (Q1 2026), 262.48 million (Q4 2025) and 260.32 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,185.47 Bn | 3,943.00 Bn | 73.85 Bn | 12.31 Bn |
| 2 | Meta Platforms | 1,794.56 Bn | 1,497.08 Bn | 49.47 Bn | 2.57 Bn |
| 3 | Netflix | 292.71 Bn | 252.90 Bn | 6.52 Bn | 4.26 Bn |
| 4 | Alibaba Group Holding | 251.74 Bn | 65.51 Bn | 15.11 Bn | 2.40 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 | 2.05 Bn |
| 7 | Booking Holdings | 124.83 Bn | 57.88 Bn | - | 770.00 Mn |
| 8 | PDD Holdings | 113.76 Bn | -130.01 Bn | 9.45 Bn | 1.48 Bn |
| 9 | Spotify Technology | 106.73 Bn | 64.23 Bn | 1.86 Bn | 210.51 Mn |
| 10 | Match | 10.42 Bn | 6.72 Bn | 648.84 Mn | 247.76 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 247.76 Mn |
| Mar 31, 2026 | 251.48 Mn |
| Dec 31, 2025 | 262.48 Mn |
| Sep 30, 2025 | 260.32 Mn |
| Jun 30, 2025 | 263.77 Mn |
| Mar 31, 2025 | 271.93 Mn |
| Dec 31, 2024 | 279.06 Mn |
| Sep 30, 2024 | 275.74 Mn |
| Jun 30, 2024 | 281.88 Mn |
| Mar 31, 2024 | 286.21 Mn |
| Dec 31, 2023 | 293.28 Mn |
| Sep 30, 2023 | 293.38 Mn |
| Jun 30, 2023 | 295.00 Mn |
| Mar 31, 2023 | 296.65 Mn |
| Dec 31, 2022 | 295.22 Mn |
| Sep 30, 2022 | 299.99 Mn |
| Jun 30, 2022 | 285.13 Mn |
| Mar 31, 2022 | 306.90 Mn |
| Dec 31, 2021 | 304.84 Mn |
| Sep 30, 2021 | 316.95 Mn |
API Access
Match Shares Outstanding (Diluted) 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-diluted&ticker=MTCH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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-diluted&ticker=MTCH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();