Match (MTCH) Gross Margin (2009 - 2026)
Match's Gross Margin was 76.06% in Q2 2026, up 4.07 percentage points from 71.99% a year earlier and up 0.44 percentage points from the prior quarter.
Match (MTCH) Gross Margin (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Match's Gross Margin was 74.80% through Jun 30, 2026, up 2.86 percentage points year-over-year; for FY2025, it was 72.80%, up 1.29 percentage points from FY2024.
- Gross Margin shows a five-year change of -0.61 percentage points (FY2020 to FY2025).
- In earlier years, Gross Margin was 71.51% in FY2024 (-0.13 pp), 71.64% in FY2023 (+1.75 pp), 69.90% in FY2022 (-1.97 pp) and 71.87% in FY2021 (-1.54 pp).
- The Q2 2026 figure marks the highest quarterly Gross Margin since Q4 2018.
- Compared with a year earlier, Gross Margin has increased for six straight quarters, with an average year-over-year change of +1.32 percentage points over the last eight quarters.
- The best year-over-year quarter for Gross Margin over five years was Q4 2023 (a gain of 5.98 percentage points); the worst was Q4 2024 (a drop of 3.46 percentage points).
- Per Business Quant data, MTCH's Gross Margin in the three quarters before Q2 2026 was 75.62% (Q1 2026), 74.66% (Q4 2025) and 72.98% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Gross Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,185.47 Bn | 3,943.00 Bn | 73.85 Bn | 61.65% |
| 2 | Meta Platforms | 1,794.56 Bn | 1,497.08 Bn | 49.47 Bn | 81.37% |
| 3 | Netflix | 292.71 Bn | 252.90 Bn | 6.52 Bn | 51.93% |
| 4 | Alibaba Group Holding | 251.74 Bn | 65.51 Bn | 15.11 Bn | 38.11% |
| 5 | Shopify | 221.57 Bn | 198.76 Bn | 1.71 Bn | 47.67% |
| 6 | Uber Technologies | 142.45 Bn | 114.25 Bn | 6.38 Bn | 44.93% |
| 7 | Booking Holdings | 124.83 Bn | 57.88 Bn | - | - |
| 8 | PDD Holdings | 113.76 Bn | -130.01 Bn | 9.45 Bn | 57.06% |
| 9 | Spotify Technology | 106.73 Bn | 64.23 Bn | 1.86 Bn | 33.41% |
| 10 | Match | 10.42 Bn | 6.72 Bn | 648.84 Mn | 76.06% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 76.06% |
| Mar 31, 2026 | 75.62% |
| Dec 31, 2025 | 74.66% |
| Sep 30, 2025 | 72.98% |
| Jun 30, 2025 | 71.99% |
| Mar 31, 2025 | 71.50% |
| Dec 31, 2024 | 72.52% |
| Sep 30, 2024 | 71.73% |
| Jun 30, 2024 | 71.65% |
| Mar 31, 2024 | 70.13% |
| Dec 31, 2023 | 75.97% |
| Sep 30, 2023 | 71.01% |
| Jun 30, 2023 | 69.83% |
| Mar 31, 2023 | 69.51% |
| Dec 31, 2022 | 69.99% |
| Sep 30, 2022 | 69.49% |
| Jun 30, 2022 | 69.69% |
| Mar 31, 2022 | 70.42% |
| Dec 31, 2021 | 70.90% |
| Sep 30, 2021 | 71.04% |
Match Gross Margin 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=gross-margin&ticker=MTCH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gross-margin", "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=gross-margin&ticker=MTCH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();