MediaAlpha (MAX) Non-Current Assets (2019 - 2026)
MediaAlpha (MAX) recorded Non-Current Assets of $188.48 million in Q2 2026, up 231.0% from $56.94 million a year earlier but down 6.9% from the prior quarter.
MediaAlpha (MAX) Non-Current Assets (2019 - 2026) Analysis & Trends
At the end of FY2025, MediaAlpha reported Non-Current Assets of $209.46 million, up 188.8% from FY2024.
- Annual Non-Current Assets has a five-year compound annual growth rate of 20.5% (FY2020 to FY2025).
- Across earlier years, Non-Current Assets came in at $72.54 million in FY2024 (-8.6%), $79.35 million in FY2023 (-11.5%), $89.66 million in FY2022 (-41.3%) and $152.7 million in FY2021 (+85.0%).
- Quarterly Non-Current Assets has ranged from $56.94 million in Q2 2025 to $209.46 million in Q4 2025 over the past five years.
- On a year-over-year basis, Non-Current Assets has increased for three consecutive quarters, with growth averaging 73.1% over the last eight quarters.
- Peak year-over-year performance for Non-Current Assets in the last five years was growth of 252.1% in Q1 2026, against a decline of 59.1% in Q2 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $202.51 million (Q1 2026), $209.46 million (Q4 2025) and $60.49 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,164.76 Bn | 3,922.28 Bn | 73.85 Bn | 578.46 Bn |
| 2 | Meta Platforms | 1,823.40 Bn | 1,525.92 Bn | 49.47 Bn | 324.48 Bn |
| 3 | Netflix | 288.27 Bn | 248.47 Bn | 6.52 Bn | 44.60 Bn |
| 4 | Alibaba Group Holding | 252.72 Bn | 70.58 Bn | 15.11 Bn | 181.70 Bn |
| 5 | Shopify | 186.52 Bn | 163.71 Bn | 1.71 Bn | 6.65 Bn |
| 6 | Uber Technologies | 139.11 Bn | 111.09 Bn | 6.38 Bn | 53.27 Bn |
| 7 | Booking Holdings | 123.13 Bn | 56.18 Bn | - | 6.63 Bn |
| 8 | PDD Holdings | 111.72 Bn | -140.21 Bn | 9.45 Bn | 15.71 Bn |
| 9 | AppLovin | 103.35 Bn | 93.38 Bn | 1.70 Bn | 2.88 Bn |
| 10 | MediaAlpha | 488.00 Mn | 319.13 Mn | 45.17 Mn | 188.48 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 188.48 Mn |
| Mar 31, 2026 | 202.51 Mn |
| Dec 31, 2025 | 209.46 Mn |
| Sep 30, 2025 | 60.49 Mn |
| Jun 30, 2025 | 56.94 Mn |
| Mar 31, 2025 | 57.52 Mn |
| Dec 31, 2024 | 72.54 Mn |
| Sep 30, 2024 | 74.06 Mn |
| Jun 30, 2024 | 75.53 Mn |
| Mar 31, 2024 | 77.40 Mn |
| Dec 31, 2023 | 79.35 Mn |
| Sep 30, 2023 | 82.01 Mn |
| Jun 30, 2023 | 84.10 Mn |
| Mar 31, 2023 | 86.18 Mn |
| Dec 31, 2022 | 89.66 Mn |
| Sep 30, 2022 | 195.35 Mn |
| Jun 30, 2022 | 205.47 Mn |
| Mar 31, 2022 | 150.95 Mn |
| Dec 31, 2021 | 152.70 Mn |
| Sep 30, 2021 | 140.94 Mn |
MediaAlpha Non-Current Assets 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=non-current-assets&ticker=MAX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=MAX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();