Marketwise (MKTW) Shares Outstanding (Diluted) (2021 - 2026)
Marketwise (MKTW) reported Shares Outstanding (Diluted) of 2.64 million for Q2 2026, up 8.1% from 2.45 million a year earlier and up 6.1% from the prior quarter.
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Analysis
Marketwise (MKTW) Shares Outstanding (Diluted) (2021 - 2026) Analysis & Trends
For FY2025, Marketwise posted Shares Outstanding (Diluted) of 2.44 million, up 23.6% from FY2024.
- Shares Outstanding (Diluted) has increased for three consecutive years, with a four-year compound annual growth rate of 18.1% (FY2021 to FY2025).
- By year, Shares Outstanding (Diluted) came in at 1.97 million in FY2024 (+18.3%), 1.67 million in FY2023 (+34.6%), 1.24 million in FY2022 (-1.2%) and 1.25 million in FY2021.
- The Q2 2026 figure ranks as the highest quarterly Shares Outstanding (Diluted) in data going back to Q3 2021.
- Year over year, Shares Outstanding (Diluted) has now increased in each of the last 14 quarters, with growth averaging 18.7% over the last eight quarters.
- The high point for year-over-year Shares Outstanding (Diluted) in five years was Q2 2023 (growth of 42.8%); the low point was Q3 2022 (a decline of 5.6%).
- Per Business Quant data, the three quarters before Q2 2026 came in at 2.49 million (Q1 2026), 2.44 million (Q4 2025) and 2.6 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 449.46 Bn | 418.52 Bn | 1.64 Bn | 2.57 Bn |
| 2 | Oracle | 415.29 Bn | 287.84 Bn | - | 3.00 Bn |
| 3 | Sap Se | 256.30 Bn | 177.39 Bn | 8.40 Bn | 1.18 Bn |
| 4 | Salesforce | 188.94 Bn | 144.82 Bn | 8.70 Bn | 821.00 Mn |
| 5 | ServiceNow | 138.57 Bn | 117.03 Bn | 2.82 Bn | 1.03 Bn |
| 6 | Automatic Data Processing | 102.66 Bn | 84.78 Bn | 2.51 Bn | 403.30 Mn |
| 7 | Intuit | 74.00 Bn | 53.35 Bn | 3.44 Bn | 277.00 Mn |
| 8 | Relx | 60.34 Bn | 57.31 Bn | - | 1.84 Bn |
| 9 | Strategy | 53.88 Bn | 46.87 Bn | 81.55 Mn | 352.53 Mn |
| 10 | Marketwise | 309.79 Mn | -130.29 Mn | 64.70 Mn | 2.64 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.64 Mn |
| Mar 31, 2026 | 2.49 Mn |
| Dec 31, 2025 | 2.44 Mn |
| Sep 30, 2025 | 2.60 Mn |
| Jun 30, 2025 | 2.45 Mn |
| Mar 31, 2025 | 2.16 Mn |
| Dec 31, 2024 | 1.97 Mn |
| Sep 30, 2024 | 1.98 Mn |
| Jun 30, 2024 | 1.94 Mn |
| Mar 31, 2024 | 1.97 Mn |
| Dec 31, 2023 | 1.67 Mn |
| Sep 30, 2023 | 1.68 Mn |
| Jun 30, 2023 | 1.59 Mn |
| Mar 31, 2023 | 1.52 Mn |
| Dec 31, 2022 | 1.24 Mn |
| Sep 30, 2022 | 1.18 Mn |
| Jun 30, 2022 | 1.11 Mn |
| Mar 31, 2022 | 1.19 Mn |
| Dec 31, 2021 | 1.25 Mn |
| Sep 30, 2021 | 1.25 Mn |
API Access
Marketwise Shares Outstanding (Diluted) 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=shares-outstanding-diluted&ticker=MKTW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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=shares-outstanding-diluted&ticker=MKTW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();