MediaAlpha (MAX) Return on Sales [ROS] (2019 - 2026)
MediaAlpha (MAX) recorded Return on Sales [ROS] of 6.30% in Q2 2026, up 14.26 percentage points from -7.97% a year earlier but down 0.92 percentage points from the prior quarter.
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Analysis
MediaAlpha (MAX) Return on Sales [ROS] (2019 - 2026) Analysis & Trends
On a TTM basis, MediaAlpha's Return on Sales [ROS] came in at 6.89% as of Jun 30, 2026, up 5.60 percentage points year-over-year; for FY2025, it was 1.99%, down 2.95 percentage points from FY2024.
- Annual Return on Sales [ROS] has a five-year change of -1.35 percentage points (FY2020 to FY2025).
- Across earlier years, Return on Sales [ROS] came in at 4.94% in FY2024 (+15.23 pp), -10.29% in FY2023 (-2.58 pp), -7.71% in FY2022 (-8.04 pp) and 0.33% in FY2021 (-3.01 pp).
- Quarterly Return on Sales [ROS] has ranged from -19.78% in Q3 2023 to 7.66% in Q4 2025 over the past five years.
- On a year-over-year basis, Return on Sales [ROS] has increased for four consecutive quarters, with an average year-over-year change of +5.19 percentage points over the last eight quarters.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 25.80 percentage points in Q3 2024, against a drop of 11.84 percentage points in Q3 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at 7.22% (Q1 2026), 7.66% (Q4 2025) and 6.44% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,173.87 Bn | 3,931.39 Bn | 73.85 Bn | 34.03% |
| 2 | Meta Platforms | 1,849.67 Bn | 1,552.19 Bn | 49.47 Bn | 30.88% |
| 3 | Netflix | 279.23 Bn | 239.43 Bn | 6.52 Bn | 33.38% |
| 4 | Alibaba Group Holding | 245.86 Bn | 63.73 Bn | 15.11 Bn | 5.62% |
| 5 | Shopify | 196.08 Bn | 173.27 Bn | 1.71 Bn | 13.62% |
| 6 | Uber Technologies | 138.90 Bn | 110.88 Bn | 6.38 Bn | 13.32% |
| 7 | Booking Holdings | 119.48 Bn | 52.53 Bn | - | 34.00% |
| 8 | PDD Holdings | 107.30 Bn | -144.64 Bn | 9.45 Bn | 24.62% |
| 9 | Spotify Technology | 97.33 Bn | 54.56 Bn | 1.86 Bn | 13.71% |
| 10 | MediaAlpha | 508.67 Mn | 339.80 Mn | 45.17 Mn | 6.30% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.30% |
| Mar 31, 2026 | 7.22% |
| Dec 31, 2025 | 7.66% |
| Sep 30, 2025 | 6.44% |
| Jun 30, 2025 | -7.97% |
| Mar 31, 2025 | 0.04% |
| Dec 31, 2024 | 6.07% |
| Sep 30, 2024 | 6.02% |
| Jun 30, 2024 | 3.64% |
| Mar 31, 2024 | 1.87% |
| Dec 31, 2023 | 0.38% |
| Sep 30, 2023 | -19.78% |
| Jun 30, 2023 | -18.96% |
| Mar 31, 2023 | -8.55% |
| Dec 31, 2022 | -5.27% |
| Sep 30, 2022 | -11.88% |
| Jun 30, 2022 | -10.06% |
| Mar 31, 2022 | -5.52% |
| Dec 31, 2021 | -1.01% |
| Sep 30, 2021 | -0.04% |
API Access
MediaAlpha Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=MAX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=MAX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();