Marketwise (MKTW) Accumulated Expenses (2020 - 2026)
Marketwise (MKTW) posted Accumulated Expenses of $31.54 million for Q2 2026, up 36.6% from $23.09 million a year earlier and up 37.4% from the prior quarter.
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Analysis
Marketwise (MKTW) Accumulated Expenses (2020 - 2026) Analysis & Trends
At the end of FY2025, Marketwise's Accumulated Expenses came in at $33.22 million, up 42.8% from FY2024.
- Annual Accumulated Expenses shows a five-year compound annual growth rate of 0.7% (FY2020 to FY2025).
- In prior years, Marketwise's Accumulated Expenses was $23.27 million in FY2024 (-57.7%), $55.04 million in FY2023 (+19.7%), $45.98 million in FY2022 (-1.0%) and $46.45 million in FY2021 (+44.6%).
- Quarterly Accumulated Expenses has run from a low of $18.46 million in Q1 2025 to a high of $63.32 million in Q3 2021 over five years.
- On a year-over-year basis, Accumulated Expenses has increased in each of the last four quarters, with an average decline of 2.1% over the last eight quarters.
- The strongest year-over-year quarter for Accumulated Expenses in the past five years was Q4 2021, with growth of 44.6%; the weakest was Q4 2024, with a decline of 57.7%.
- According to Business Quant data, Accumulated Expenses for the three prior quarters was $22.95 million (Q1 2026), $33.22 million (Q4 2025) and $24.97 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palantir Technologies | 449.46 Bn | 418.52 Bn | 1.64 Bn |
| 2 | Oracle | 415.29 Bn | 287.84 Bn | - |
| 3 | Sap Se | 256.30 Bn | 177.39 Bn | 8.40 Bn |
| 4 | Salesforce | 188.94 Bn | 144.82 Bn | 8.70 Bn |
| 5 | ServiceNow | 138.57 Bn | 117.03 Bn | 2.82 Bn |
| 6 | Automatic Data Processing | 102.66 Bn | 84.78 Bn | 2.51 Bn |
| 7 | Intuit | 74.00 Bn | 53.35 Bn | 3.44 Bn |
| 8 | Relx | 60.34 Bn | 57.31 Bn | - |
| 9 | Strategy | 53.88 Bn | 46.87 Bn | 81.55 Mn |
| 10 | Marketwise | 309.79 Mn | -130.29 Mn | 64.70 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 31.54 Mn |
| Mar 31, 2026 | 22.95 Mn |
| Dec 31, 2025 | 33.22 Mn |
| Sep 30, 2025 | 24.97 Mn |
| Jun 30, 2025 | 23.09 Mn |
| Mar 31, 2025 | 18.46 Mn |
| Dec 31, 2024 | 23.27 Mn |
| Sep 30, 2024 | 22.37 Mn |
| Jun 30, 2024 | 25.72 Mn |
| Mar 31, 2024 | 22.05 Mn |
| Dec 31, 2023 | 55.04 Mn |
| Sep 30, 2023 | 42.71 Mn |
| Jun 30, 2023 | 38.36 Mn |
| Mar 31, 2023 | 29.73 Mn |
| Dec 31, 2022 | 45.98 Mn |
| Sep 30, 2022 | 39.30 Mn |
| Jun 30, 2022 | 43.87 Mn |
| Mar 31, 2022 | 41.04 Mn |
| Dec 31, 2021 | 46.45 Mn |
| Sep 30, 2021 | 63.32 Mn |
API Access
Marketwise Accumulated Expenses 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=accumulated-expenses&ticker=MKTW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=MKTW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();