MediaAlpha (MAX) Total Non-Current Liabilities (2019 - 2026)
MediaAlpha's Total Non-Current Liabilities came in at $320.21 million for Q2 2026, up 7.5% from $297.84 million a year earlier but down 17.1% from the prior quarter.
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Analysis
MediaAlpha (MAX) Total Non-Current Liabilities (2019 - 2026) Analysis & Trends
At the end of FY2025, MediaAlpha's Total Non-Current Liabilities was $403.46 million, up 37.4% from FY2024.
- Total Non-Current Liabilities carries a five-year compound annual growth rate of 5.2% (FY2020 to FY2025).
- Going back by year, Total Non-Current Liabilities was $293.56 million in FY2024 (+21.2%), $242.17 million in FY2023 (-3.6%), $251.19 million in FY2022 (-27.7%) and $347.31 million in FY2021 (+11.1%).
- The five-year range for quarterly Total Non-Current Liabilities is $227.95 million (Q3 2023) to $403.46 million (Q4 2025).
- Year-over-year, Total Non-Current Liabilities has increased for nine consecutive quarters, with growth averaging 21.7% over the last eight quarters.
- The fastest year-over-year change in Total Non-Current Liabilities over five years came in Q1 2026 (growth of 48.0%), and the weakest in Q2 2023 (a decline of 31.9%).
- Business Quant data shows MAX's Total Non-Current Liabilities at $386.07 million (Q1 2026), $403.46 million (Q4 2025) and $323.37 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,164.76 Bn | 3,922.28 Bn | 73.85 Bn | 270.20 Bn |
| 2 | Meta Platforms | 1,823.40 Bn | 1,525.92 Bn | 49.47 Bn | 170.41 Bn |
| 3 | Netflix | 288.27 Bn | 248.47 Bn | 6.52 Bn | 25.59 Bn |
| 4 | Alibaba Group Holding | 252.72 Bn | 70.58 Bn | 15.11 Bn | 121.77 Bn |
| 5 | Shopify | 186.52 Bn | 163.71 Bn | 1.71 Bn | 326.00 Mn |
| 6 | Uber Technologies | 139.11 Bn | 111.09 Bn | 6.38 Bn | 37.14 Bn |
| 7 | Booking Holdings | 123.13 Bn | 56.18 Bn | - | 39.77 Bn |
| 8 | PDD Holdings | 111.72 Bn | -140.21 Bn | 9.45 Bn | 428.00 Mn |
| 9 | AppLovin | 103.35 Bn | 93.38 Bn | 1.70 Bn | 4.77 Bn |
| 10 | MediaAlpha | 488.00 Mn | 319.13 Mn | 45.17 Mn | 320.21 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 320.21 Mn |
| Mar 31, 2026 | 386.07 Mn |
| Dec 31, 2025 | 403.46 Mn |
| Sep 30, 2025 | 323.37 Mn |
| Jun 30, 2025 | 297.84 Mn |
| Mar 31, 2025 | 260.79 Mn |
| Dec 31, 2024 | 293.56 Mn |
| Sep 30, 2024 | 288.43 Mn |
| Jun 30, 2024 | 269.26 Mn |
| Mar 31, 2024 | 236.52 Mn |
| Dec 31, 2023 | 242.17 Mn |
| Sep 30, 2023 | 227.95 Mn |
| Jun 30, 2023 | 229.74 Mn |
| Mar 31, 2023 | 237.26 Mn |
| Dec 31, 2022 | 251.19 Mn |
| Sep 30, 2022 | 328.57 Mn |
| Jun 30, 2022 | 337.35 Mn |
| Mar 31, 2022 | 327.99 Mn |
| Dec 31, 2021 | 347.31 Mn |
| Sep 30, 2021 | 315.56 Mn |
API Access
MediaAlpha Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=MAX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=MAX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();