MediaAlpha (MAX) Interest Expenses (2019 - 2026)
MediaAlpha's Interest Expenses was $2.77 million in Q2 2026, down 3.3% from $2.87 million a year earlier but up 13.6% from the prior quarter.
MediaAlpha (MAX) Interest Expenses (2019 - 2026) Analysis & Trends
On a trailing twelve-month basis, MediaAlpha's Interest Expenses was $10.63 million through Jun 30, 2026, down 15.5% year-over-year; for FY2025, it was $11.24 million, down 21.7% from FY2024.
- Interest Expenses shows a five-year compound annual growth rate of 7.2% (FY2020 to FY2025).
- In earlier years, Interest Expenses was $14.35 million in FY2024 (-6.3%), $15.32 million in FY2023 (+65.7%), $9.25 million in FY2022 (+18.1%) and $7.83 million in FY2021 (-1.4%).
- Quarterly Interest Expenses has moved between $1.36 million (Q1 2022) and $3.95 million (Q3 2023) over five years.
- Compared with a year earlier, Interest Expenses has declined for nine straight quarters, with an average decline of 16.9% over the last eight quarters.
- The best year-over-year quarter for Interest Expenses over five years was Q1 2023 (growth of 163.1%); the worst was Q4 2021 (a decline of 50.6%).
- Per Business Quant data, MAX's Interest Expenses in the three quarters before Q2 2026 was $2.44 million (Q1 2026), $2.61 million (Q4 2025) and $2.81 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,164.76 Bn | 3,922.28 Bn | 73.85 Bn | - |
| 2 | Meta Platforms | 1,823.40 Bn | 1,525.92 Bn | 49.47 Bn | - |
| 3 | Netflix | 288.27 Bn | 248.47 Bn | 6.52 Bn | 175.69 Mn |
| 4 | Alibaba Group Holding | 252.72 Bn | 70.58 Bn | 15.11 Bn | -345.42 Mn |
| 5 | Shopify | 186.52 Bn | 163.71 Bn | 1.71 Bn | - |
| 6 | Uber Technologies | 139.11 Bn | 111.09 Bn | 6.38 Bn | 127.00 Mn |
| 7 | Booking Holdings | 123.13 Bn | 56.18 Bn | - | 300.00 Mn |
| 8 | PDD Holdings | 111.72 Bn | -140.21 Bn | 9.45 Bn | - |
| 9 | AppLovin | 103.35 Bn | 93.38 Bn | 1.70 Bn | 51.16 Mn |
| 10 | MediaAlpha | 488.00 Mn | 319.13 Mn | 45.17 Mn | 2.77 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.77 Mn |
| Mar 31, 2026 | 2.44 Mn |
| Dec 31, 2025 | 2.61 Mn |
| Sep 30, 2025 | 2.81 Mn |
| Jun 30, 2025 | 2.87 Mn |
| Mar 31, 2025 | 2.96 Mn |
| Dec 31, 2024 | 3.19 Mn |
| Sep 30, 2024 | 3.56 Mn |
| Jun 30, 2024 | 3.75 Mn |
| Mar 31, 2024 | 3.85 Mn |
| Dec 31, 2023 | 3.92 Mn |
| Sep 30, 2023 | 3.95 Mn |
| Jun 30, 2023 | 3.87 Mn |
| Mar 31, 2023 | 3.58 Mn |
| Dec 31, 2022 | 3.34 Mn |
| Sep 30, 2022 | 2.59 Mn |
| Jun 30, 2022 | 1.96 Mn |
| Mar 31, 2022 | 1.36 Mn |
| Dec 31, 2021 | 1.53 Mn |
| Sep 30, 2021 | 1.77 Mn |
MediaAlpha 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=MAX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "ticker": "MAX", "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=MAX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();