Match (MTCH) Other Operating Expenses (2009 - 2026)
Match (MTCH) recorded Other Operating Expenses of $371.05 million in Q2 2026, down 7.4% from $400.69 million a year earlier and down 8.9% from the prior quarter.
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Analysis
Match (MTCH) Other Operating Expenses (2009 - 2026) Analysis & Trends
On a TTM basis, Match's Other Operating Expenses came in at $1.59 billion as of Jun 30, 2026, down 3.9% year-over-year; for FY2025, it was $1.61 billion, down 4.4% from FY2024.
- Annual Other Operating Expenses has a five-year compound annual growth rate of 7.5% (FY2020 to FY2025).
- Across earlier years, Other Operating Expenses came in at $1.69 billion in FY2024 (+6.3%), $1.59 billion in FY2023 (-14.7%), $1.86 billion in FY2022 (+29.7%) and $1.43 billion in FY2021 (+27.7%).
- The Q2 2026 figure is the lowest quarterly Other Operating Expenses since Q2 2021.
- On a year-over-year basis, Other Operating Expenses rose in three of the last eight quarters, with an average decline of 1.7%.
- Peak year-over-year performance for Other Operating Expenses in the last five years was growth of 85.0% in Q2 2022, against a decline of 33.2% in Q2 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $407.45 million (Q1 2026), $382.19 million (Q4 2025) and $425.11 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Alphabet | 4,185.47 Bn | 3,943.00 Bn | 73.85 Bn |
| 2 | Meta Platforms | 1,794.56 Bn | 1,497.08 Bn | 49.47 Bn |
| 3 | Netflix | 292.71 Bn | 252.90 Bn | 6.52 Bn |
| 4 | Alibaba Group Holding | 251.74 Bn | 65.51 Bn | 15.11 Bn |
| 5 | Shopify | 221.57 Bn | 198.76 Bn | 1.71 Bn |
| 6 | Uber Technologies | 142.45 Bn | 114.25 Bn | 6.38 Bn |
| 7 | Booking Holdings | 124.83 Bn | 57.88 Bn | - |
| 8 | PDD Holdings | 113.76 Bn | -130.01 Bn | 9.45 Bn |
| 9 | Spotify Technology | 106.73 Bn | 64.23 Bn | 1.86 Bn |
| 10 | Match | 10.42 Bn | 6.72 Bn | 648.84 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 371.05 Mn |
| Mar 31, 2026 | 407.45 Mn |
| Dec 31, 2025 | 382.19 Mn |
| Sep 30, 2025 | 425.11 Mn |
| Jun 30, 2025 | 400.69 Mn |
| Mar 31, 2025 | 404.48 Mn |
| Dec 31, 2024 | 392.70 Mn |
| Sep 30, 2024 | 451.88 Mn |
| Jun 30, 2024 | 410.57 Mn |
| Mar 31, 2024 | 432.41 Mn |
| Dec 31, 2023 | 380.82 Mn |
| Sep 30, 2023 | 419.50 Mn |
| Jun 30, 2023 | 398.21 Mn |
| Mar 31, 2023 | 389.49 Mn |
| Dec 31, 2022 | 477.68 Mn |
| Sep 30, 2022 | 386.18 Mn |
| Jun 30, 2022 | 596.06 Mn |
| Mar 31, 2022 | 400.82 Mn |
| Dec 31, 2021 | 386.75 Mn |
| Sep 30, 2021 | 400.67 Mn |
API Access
Match Other 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=other-operating-expenses&ticker=MTCH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-operating-expenses&ticker=MTCH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();