Marketwise (MKTW) Total Liabilities (2020 - 2026)
Marketwise's Total Liabilities was $453.15 million in Q2 2026, up 3.3% from $438.77 million a year earlier and up 5.7% from the prior quarter.
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Analysis
Marketwise (MKTW) Total Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Total Liabilities at Marketwise came in at $432 million, down 9.5% from FY2024.
- Total Liabilities has now declined for five consecutive years, with a five-year compound annual growth rate of -18.6% (FY2020 to FY2025).
- In earlier years, Total Liabilities was $477.44 million in FY2024 (-30.4%), $685.5 million in FY2023 (-7.5%), $740.89 million in FY2022 (-10.4%) and $826.82 million in FY2021 (-31.4%).
- The Q2 2026 figure marks the highest quarterly Total Liabilities since Q1 2025.
- Compared with a year earlier, Total Liabilities was higher in 1 of the last eight quarters, with an average decline of 17.2%.
- The best year-over-year quarter for Total Liabilities over five years was Q1 2022 (growth of 97.6%); the worst was Q2 2022 (a decline of 60.2%).
- Per Business Quant data, MKTW's Total Liabilities in the three quarters before Q2 2026 was $428.81 million (Q1 2026), $432 million (Q4 2025) and $427.61 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn | 1.79 Bn |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - | 236.06 Bn |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn | 35.29 Bn |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 Bn | 71.24 Bn |
| 5 | ServiceNow | 135.91 Bn | 114.37 Bn | 2.82 Bn | 19.15 Bn |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn | 57.16 Bn |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn | 17.79 Bn |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - | 18.48 Bn |
| 9 | Strategy | 55.31 Bn | 48.30 Bn | 81.55 Mn | 21.68 Bn |
| 10 | Marketwise | 309.79 Mn | -130.29 Mn | 64.70 Mn | 453.15 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 453.15 Mn |
| Mar 31, 2026 | 428.81 Mn |
| Dec 31, 2025 | 432.00 Mn |
| Sep 30, 2025 | 427.61 Mn |
| Jun 30, 2025 | 438.77 Mn |
| Mar 31, 2025 | 457.29 Mn |
| Dec 31, 2024 | 477.44 Mn |
| Sep 30, 2024 | 525.47 Mn |
| Jun 30, 2024 | 579.26 Mn |
| Mar 31, 2024 | 628.68 Mn |
| Dec 31, 2023 | 685.50 Mn |
| Sep 30, 2023 | 698.55 Mn |
| Jun 30, 2023 | 702.85 Mn |
| Mar 31, 2023 | 696.36 Mn |
| Dec 31, 2022 | 740.89 Mn |
| Sep 30, 2022 | 763.21 Mn |
| Jun 30, 2022 | 786.23 Mn |
| Mar 31, 2022 | 810.43 Mn |
| Dec 31, 2021 | 826.82 Mn |
| Sep 30, 2021 | 845.36 Mn |
API Access
Marketwise Total 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-liabilities&ticker=MKTW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "MKTW", "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-liabilities&ticker=MKTW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();