Match (MTCH) Interest Expenses (2009 - 2026)
Match (MTCH) posted 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) Interest Expenses (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Interest Expenses at Match was $165.04 million, up 12.2% year-over-year; for FY2025, it came in at $147.55 million, down 7.8% from FY2024.
- Annual Interest Expenses shows a five-year compound annual growth rate of 2.5% (FY2020 to FY2025).
- In prior years, Match's Interest Expenses was $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%).
- Quarterly Interest Expenses has run from a low of $31.85 million in Q3 2021 to a high of $43.11 million in Q4 2025 over five years.
- On a year-over-year basis, Interest Expenses has increased in each of the last three quarters, with growth averaging 2.3% over the last eight quarters.
- The strongest year-over-year quarter for Interest Expenses in the past five years was Q2 2026, with growth of 31.8%; the weakest was Q2 2025, with a decline of 19.7%.
- According to Business Quant data, Interest Expenses for the three prior quarters was $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) | Int Expense (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 | -345.42 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 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=interest-expenses&ticker=MTCH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=interest-expenses&ticker=MTCH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();