Match (MTCH) Non Operating Interest Expenses (2009 - 2026)
Match (MTCH) reported Non Operating Interest Expenses of $42.38 million for Q2 2026, up 31.8% from $32.16 million a year earlier but down 0.3% from the prior quarter.
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Analysis
Match (MTCH) Non Operating Interest Expenses (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Match's Non Operating Interest Expenses came in at $165.04 million, up 12.2% year-over-year; for FY2025, it came in at $147.55 million, down 7.8% from FY2024.
- Non Operating Interest Expenses has a five-year compound annual growth rate of 2.5% (FY2020 to FY2025).
- By year, Non Operating Interest Expenses came in at $160.07 million in FY2024 (+0.1%), $159.89 million in FY2023 (+9.9%), $145.55 million in FY2022 (+11.5%) and $130.49 million in FY2021 (-0.1%).
- Five-year quarterly Non Operating Interest Expenses spans a low of $31.85 million in Q3 2021 and a high of $43.11 million in Q4 2025.
- Year over year, Non Operating Interest Expenses has now increased in each of the last three quarters, with growth averaging 2.3% over the last eight quarters.
- The high point for year-over-year Non Operating Interest Expenses in five years was Q2 2026 (growth of 31.8%); the low point was Q2 2025 (a decline of 19.7%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $42.53 million (Q1 2026), $43.11 million (Q4 2025) and $37.02 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (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 | 175.69 Mn |
| 4 | Alibaba Group Holding | 251.74 Bn | 65.51 Bn | 15.11 Bn | -346.00 Mn |
| 5 | Shopify | 221.57 Bn | 198.76 Bn | 1.71 Bn | - |
| 6 | Uber Technologies | 142.45 Bn | 114.25 Bn | 6.38 Bn | 127.00 Mn |
| 7 | Booking Holdings | 124.83 Bn | 57.88 Bn | - | 300.00 Mn |
| 8 | PDD Holdings | 113.76 Bn | -130.01 Bn | 9.45 Bn | - |
| 9 | Spotify Technology | 106.73 Bn | 64.23 Bn | 1.86 Bn | -24.41 Mn |
| 10 | Match | 10.42 Bn | 6.72 Bn | 648.84 Mn | 42.38 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 42.38 Mn |
| Mar 31, 2026 | 42.53 Mn |
| Dec 31, 2025 | 43.11 Mn |
| Sep 30, 2025 | 37.02 Mn |
| Jun 30, 2025 | 32.16 Mn |
| Mar 31, 2025 | 35.26 Mn |
| Dec 31, 2024 | 39.56 Mn |
| Sep 30, 2024 | 40.12 Mn |
| Jun 30, 2024 | 40.04 Mn |
| Mar 31, 2024 | 40.35 Mn |
| Dec 31, 2023 | 40.41 Mn |
| Sep 30, 2023 | 40.38 Mn |
| Jun 30, 2023 | 39.74 Mn |
| Mar 31, 2023 | 39.35 Mn |
| Dec 31, 2022 | 38.21 Mn |
| Sep 30, 2022 | 36.81 Mn |
| Jun 30, 2022 | 35.62 Mn |
| Mar 31, 2022 | 34.90 Mn |
| Dec 31, 2021 | 34.59 Mn |
| Sep 30, 2021 | 31.85 Mn |
API Access
Match Non Operating Interest 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=non-operating-interest-expenses&ticker=MTCH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-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=non-operating-interest-expenses&ticker=MTCH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();