Match (MTCH) Operating Expenses (2009 - 2026)
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Analysis
Match (MTCH) Operating Expenses (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 3,462.85 Bn | 3,197.75 Bn | 76.16 Bn | 87.00 Bn |
| 2 | Meta Platforms | 1,559.43 Bn | 1,223.94 Bn | 51.23 Bn | 51.61 Bn |
| 3 | Netflix | 262.12 Bn | 223.42 Bn | 6.80 Bn | 1.50 Bn |
| 4 | Alibaba Group Holding | 253.57 Bn | 67.20 Bn | 15.16 Bn | 5.19 Bn |
| 5 | Shopify | 191.77 Bn | 170.57 Bn | 1.78 Bn | 1.21 Bn |
| 6 | Uber Technologies | 139.89 Bn | 110.71 Bn | 6.42 Bn | 13.32 Bn |
| 7 | AppLovin | 130.31 Bn | 118.84 Bn | 1.94 Bn | 475.85 Mn |
| 8 | Spotify Technology | 123.80 Bn | 80.72 Bn | 1.89 Bn | 645.39 Mn |
| 9 | Booking Holdings | 120.61 Bn | 54.35 Bn | - | 5.48 Bn |
| 10 | Match | 8.95 Bn | 5.58 Bn | 684.71 Mn | 622.66 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 622.66 Mn |
| Jun 30, 2026 | 607.66 Mn |
| Mar 31, 2026 | 627.52 Mn |
| Dec 31, 2025 | 593.33 Mn |
| Sep 30, 2025 | 692.94 Mn |
| Jun 30, 2025 | 669.82 Mn |
| Mar 31, 2025 | 658.59 Mn |
| Dec 31, 2024 | 636.79 Mn |
| Sep 30, 2024 | 684.82 Mn |
| Jun 30, 2024 | 659.54 Mn |
| Mar 31, 2024 | 674.91 Mn |
| Dec 31, 2023 | 605.98 Mn |
| Sep 30, 2023 | 638.04 Mn |
| Jun 30, 2023 | 614.76 Mn |
| Mar 31, 2023 | 588.84 Mn |
| Dec 31, 2022 | 679.52 Mn |
| Sep 30, 2022 | 598.91 Mn |
| Jun 30, 2022 | 804.59 Mn |
| Mar 31, 2022 | 590.81 Mn |
| Dec 31, 2021 | 574.15 Mn |
API Access
Match Operating Expenses 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=operating-expenses&ticker=MTCH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=MTCH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();