Match (MTCH) EPS (Diluted) (2009 - 2026)
Match's EPS (Diluted) was $0.72 in Q3 2026, up 16.7% from $0.62 a year earlier and up 4.7% from the prior quarter.
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Analysis
Match (MTCH) EPS (Diluted) (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Match's EPS (Diluted) was $2.98 through Sep 30, 2026, up 38.1% year-over-year; for FY2025, it was $2.34, up 18.3% from FY2024.
- EPS (Diluted) shows a five-year compound annual growth rate of 28.4% (FY2020 to FY2025).
- In earlier years, EPS (Diluted) was $1.98 in FY2024 (-11.1%), $2.22 in FY2023 (+81.2%), $1.23 in FY2022 (+34.6%) and $0.91 in FY2021 (+36.1%).
- Quarterly EPS (Diluted) has moved between -$0.55 (Q4 2021) and $0.80 (Q4 2025) over five years.
- Compared with a year earlier, EPS (Diluted) has increased for seven straight quarters, with growth averaging 19.2% over the last eight quarters.
- The best year-over-year quarter for EPS (Diluted) over five years was Q4 2023 (growth of 173.3%); the worst was Q1 2023 (a decline of 30.8%).
- Per Business Quant data, MTCH's EPS (Diluted) in the three quarters before Q3 2026 was $0.69 (Q2 2026), $0.66 (Q1 2026) and $0.80 (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 3,462.85 Bn | 3,197.75 Bn | 76.16 Bn | 2.13 |
| 2 | Meta Platforms | 1,559.43 Bn | 1,223.94 Bn | 51.23 Bn | 3.83 |
| 3 | Netflix | 262.12 Bn | 223.42 Bn | 6.80 Bn | 0.87 |
| 4 | Alibaba Group Holding | 253.57 Bn | 67.20 Bn | 15.16 Bn | 0.65 |
| 5 | Shopify | 191.77 Bn | 170.57 Bn | 1.78 Bn | 0.36 |
| 6 | Uber Technologies | 139.89 Bn | 110.71 Bn | 6.42 Bn | 0.25 |
| 7 | AppLovin | 130.31 Bn | 118.84 Bn | 1.94 Bn | 4.30 |
| 8 | Spotify Technology | 123.80 Bn | 80.72 Bn | 1.89 Bn | 2.83 |
| 9 | Booking Holdings | 120.61 Bn | 54.35 Bn | - | 3.61 |
| 10 | Match | 8.95 Bn | 5.58 Bn | 684.71 Mn | 0.72 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 0.72 |
| Jun 30, 2026 | 0.69 |
| Mar 31, 2026 | 0.66 |
| Dec 31, 2025 | 0.80 |
| Sep 30, 2025 | 0.62 |
| Jun 30, 2025 | 0.48 |
| Mar 31, 2025 | 0.43 |
| Dec 31, 2024 | 0.57 |
| Sep 30, 2024 | 0.49 |
| Jun 30, 2024 | 0.47 |
| Mar 31, 2024 | 0.43 |
| Dec 31, 2023 | 0.78 |
| Sep 30, 2023 | 0.56 |
| Jun 30, 2023 | 0.47 |
| Mar 31, 2023 | 0.41 |
| Dec 31, 2022 | 0.29 |
| Sep 30, 2022 | 0.43 |
| Jun 30, 2022 | -0.11 |
| Mar 31, 2022 | 0.59 |
| Dec 31, 2021 | -0.55 |
API Access
Match EPS (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=eps-diluted&ticker=MTCH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-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=eps-diluted&ticker=MTCH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();