MediaAlpha (MAX) Cost of Revenue (2019 - 2026)
MediaAlpha's Cost of Revenue came in at $271.7 million for Q2 2026, up 27.0% from $213.94 million a year earlier and up 3.2% from the prior quarter.
MediaAlpha (MAX) Cost of Revenue (2019 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, MediaAlpha reported Cost of Revenue of $1.04 billion, up 15.0% year-over-year; for FY2025, it was $946.06 million, up 31.2% from FY2024.
- Cost of Revenue carries a five-year compound annual growth rate of 13.6% (FY2020 to FY2025).
- Going back by year, Cost of Revenue was $721.13 million in FY2024 (+124.3%), $321.44 million in FY2023 (-17.4%), $389.01 million in FY2022 (-28.5%) and $543.75 million in FY2021 (+8.9%).
- The Q2 2026 figure represents the highest quarterly Cost of Revenue in data going back to Q3 2019.
- Year-over-year, Cost of Revenue increased in seven of the last eight quarters, with growth averaging 80.4%.
- The fastest year-over-year change in Cost of Revenue over five years came in Q3 2024 (growth of 253.1%), and the weakest in Q3 2022 (a decline of 40.4%).
- Business Quant data shows MAX's Cost of Revenue at $263.31 million (Q1 2026), $246.34 million (Q4 2025) and $263.11 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,173.87 Bn | 3,931.39 Bn | 73.85 Bn | 45.94 Bn |
| 2 | Meta Platforms | 1,849.67 Bn | 1,552.19 Bn | 49.47 Bn | 11.33 Bn |
| 3 | Netflix | 279.23 Bn | 239.43 Bn | 6.52 Bn | 6.04 Bn |
| 4 | Alibaba Group Holding | 245.86 Bn | 63.73 Bn | 15.11 Bn | 24.48 Bn |
| 5 | Shopify | 196.08 Bn | 173.27 Bn | 1.71 Bn | 1.88 Bn |
| 6 | Uber Technologies | 138.90 Bn | 110.88 Bn | 6.38 Bn | 7.82 Bn |
| 7 | Booking Holdings | 119.48 Bn | 52.53 Bn | - | - |
| 8 | PDD Holdings | 107.30 Bn | -144.64 Bn | 9.45 Bn | 7.08 Bn |
| 9 | Spotify Technology | 97.33 Bn | 54.56 Bn | 1.86 Bn | 3.70 Bn |
| 10 | MediaAlpha | 508.67 Mn | 339.80 Mn | 45.17 Mn | 271.70 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 271.70 Mn |
| Mar 31, 2026 | 263.31 Mn |
| Dec 31, 2025 | 246.34 Mn |
| Sep 30, 2025 | 263.11 Mn |
| Jun 30, 2025 | 213.94 Mn |
| Mar 31, 2025 | 222.67 Mn |
| Dec 31, 2024 | 251.67 Mn |
| Sep 30, 2024 | 219.91 Mn |
| Jun 30, 2024 | 146.59 Mn |
| Mar 31, 2024 | 102.97 Mn |
| Dec 31, 2023 | 94.89 Mn |
| Sep 30, 2023 | 62.28 Mn |
| Jun 30, 2023 | 71.01 Mn |
| Mar 31, 2023 | 93.26 Mn |
| Dec 31, 2022 | 103.86 Mn |
| Sep 30, 2022 | 76.34 Mn |
| Jun 30, 2022 | 87.93 Mn |
| Mar 31, 2022 | 120.88 Mn |
| Dec 31, 2021 | 136.18 Mn |
| Sep 30, 2021 | 128.08 Mn |
MediaAlpha Cost of Revenue 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=cost-of-revenue&ticker=MAX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=MAX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();