Match (MTCH) Selling, General & Administrative (2009 - 2026)
Match (MTCH) recorded Selling, General & Administrative of $106.47 million in Q2 2026, down 22.0% from $136.56 million a year earlier but up 19.5% from the prior quarter.
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Analysis
Match (MTCH) Selling, General & Administrative (2009 - 2026) Analysis & Trends
On a TTM basis, Match's Selling, General & Administrative came in at $433.11 million as of Jun 30, 2026, down 7.1% year-over-year; for FY2025, it came in at $485.59 million, up 10.7% from FY2024.
- Annual Selling, General & Administrative has a five-year compound annual growth rate of 9.3% (FY2020 to FY2025).
- Across earlier years, Selling, General & Administrative came in at $438.84 million in FY2024 (+6.1%), $413.61 million in FY2023 (-5.1%), $435.87 million in FY2022 (+5.1%) and $414.82 million in FY2021 (+33.3%).
- Quarterly Selling, General & Administrative has ranged from $89.13 million in Q1 2026 to $148.02 million in Q3 2025 over the past five years.
- On a year-over-year basis, Selling, General & Administrative has declined for three consecutive quarters, with growth averaging 0.7% over the last eight quarters.
- Peak year-over-year performance for Selling, General & Administrative in the last five years was growth of 47.6% in Q4 2021, against a decline of 22.0% in Q2 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at $89.13 million (Q1 2026), $89.49 million (Q4 2025) and $148.02 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,185.47 Bn | 3,943.00 Bn | 73.85 Bn | 6.46 Bn |
| 2 | Meta Platforms | 1,794.56 Bn | 1,497.08 Bn | 49.47 Bn | 5.61 Bn |
| 3 | Netflix | 292.71 Bn | 252.90 Bn | 6.52 Bn | 498.85 Mn |
| 4 | Alibaba Group Holding | 251.74 Bn | 65.51 Bn | 15.11 Bn | -1.87 Bn |
| 5 | Shopify | 221.57 Bn | 198.76 Bn | 1.71 Bn | 136.00 Mn |
| 6 | Uber Technologies | 142.45 Bn | 114.25 Bn | 6.38 Bn | 935.00 Mn |
| 7 | Booking Holdings | 124.83 Bn | 57.88 Bn | - | 217.00 Mn |
| 8 | PDD Holdings | 113.76 Bn | -130.01 Bn | 9.45 Bn | -345.00 Mn |
| 9 | Spotify Technology | 106.73 Bn | 64.23 Bn | 1.86 Bn | 172.03 Mn |
| 10 | Match | 10.42 Bn | 6.72 Bn | 648.84 Mn | 106.47 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 106.47 Mn |
| Mar 31, 2026 | 89.13 Mn |
| Dec 31, 2025 | 89.49 Mn |
| Sep 30, 2025 | 148.02 Mn |
| Jun 30, 2025 | 136.56 Mn |
| Mar 31, 2025 | 111.52 Mn |
| Dec 31, 2024 | 114.37 Mn |
| Sep 30, 2024 | 103.92 Mn |
| Jun 30, 2024 | 114.30 Mn |
| Mar 31, 2024 | 106.24 Mn |
| Dec 31, 2023 | 108.21 Mn |
| Sep 30, 2023 | 107.10 Mn |
| Jun 30, 2023 | 107.70 Mn |
| Mar 31, 2023 | 90.61 Mn |
| Dec 31, 2022 | 110.36 Mn |
| Sep 30, 2022 | 114.17 Mn |
| Jun 30, 2022 | 110.64 Mn |
| Mar 31, 2022 | 100.71 Mn |
| Dec 31, 2021 | 110.26 Mn |
| Sep 30, 2021 | 103.50 Mn |
API Access
Match Selling, General & Administrative 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=selling-general-and-administrative&ticker=MTCH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=MTCH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();