MediaAlpha (MAX) Other Operating Expenses (2019 - 2026)
MediaAlpha (MAX) posted Other Operating Expenses of $276.86 million for Q2 2026, up 26.3% from $219.16 million a year earlier and up 3.1% from the prior quarter.
MediaAlpha (MAX) Other Operating Expenses (2019 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Other Operating Expenses at MediaAlpha was $1.07 billion, up 12.7% year-over-year; for FY2025, it came in at $980.53 million, up 31.5% from FY2024.
- Annual Other Operating Expenses shows a five-year compound annual growth rate of 13.5% (FY2020 to FY2025).
- In prior years, MediaAlpha's Other Operating Expenses was $745.86 million in FY2024 (+115.0%), $346.87 million in FY2023 (-17.0%), $417.83 million in FY2022 (-26.3%) and $566.57 million in FY2021 (+9.0%).
- The Q2 2026 figure stands as the highest quarterly Other Operating Expenses in data going back to Q3 2019.
- On a year-over-year basis, Other Operating Expenses increased in seven of the last eight quarters, with growth averaging 75.8%.
- The strongest year-over-year quarter for Other Operating Expenses in the past five years was Q3 2024, with growth of 231.1%; the weakest was Q3 2022, with a decline of 37.8%.
- According to Business Quant data, Other Operating Expenses for the three prior quarters was $268.63 million (Q1 2026), $251.32 million (Q4 2025) and $268.33 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Alphabet | 4,142.52 Bn | 3,900.05 Bn | 73.85 Bn |
| 2 | Meta Platforms | 1,882.44 Bn | 1,584.96 Bn | 49.47 Bn |
| 3 | Netflix | 292.72 Bn | 252.92 Bn | 6.52 Bn |
| 4 | Alibaba Group Holding | 250.25 Bn | 68.12 Bn | 15.11 Bn |
| 5 | Shopify | 192.03 Bn | 169.21 Bn | 1.71 Bn |
| 6 | Uber Technologies | 141.56 Bn | 113.53 Bn | 6.38 Bn |
| 7 | Booking Holdings | 121.98 Bn | 55.03 Bn | - |
| 8 | PDD Holdings | 110.31 Bn | -141.62 Bn | 9.45 Bn |
| 9 | AppLovin | 102.49 Bn | 92.52 Bn | 1.70 Bn |
| 10 | MediaAlpha | 497.01 Mn | 328.14 Mn | 45.17 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 276.86 Mn |
| Mar 31, 2026 | 268.63 Mn |
| Dec 31, 2025 | 251.32 Mn |
| Sep 30, 2025 | 268.33 Mn |
| Jun 30, 2025 | 219.16 Mn |
| Mar 31, 2025 | 241.71 Mn |
| Dec 31, 2024 | 257.78 Mn |
| Sep 30, 2024 | 226.40 Mn |
| Jun 30, 2024 | 152.91 Mn |
| Mar 31, 2024 | 108.77 Mn |
| Dec 31, 2023 | 100.52 Mn |
| Sep 30, 2023 | 68.38 Mn |
| Jun 30, 2023 | 77.71 Mn |
| Mar 31, 2023 | 100.26 Mn |
| Dec 31, 2022 | 110.65 Mn |
| Sep 30, 2022 | 83.20 Mn |
| Jun 30, 2022 | 95.88 Mn |
| Mar 31, 2022 | 128.10 Mn |
| Dec 31, 2021 | 142.27 Mn |
| Sep 30, 2021 | 133.71 Mn |
MediaAlpha 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=MAX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-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=other-operating-expenses&ticker=MAX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();