Palantir Technologies (PLTR) Shares Outstanding (2018 - 2026)
Palantir Technologies (PLTR) posted Weighted Average Shares Outstanding of 2.41 billion for Q3 2026, up 1.2% from 2.38 billion a year earlier and up 0.2% from the prior quarter.
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Analysis
Palantir Technologies (PLTR) Shares Outstanding (2018 - 2026) Analysis & Trends
For FY2025, Palantir Technologies' Weighted Average Shares Outstanding came in at 2.37 billion, up 5.3% from FY2024.
- Annual Weighted Average Shares Outstanding has increased for seven consecutive years, with a five-year compound annual growth rate of 19.4% (FY2020 to FY2025).
- In prior years, Palantir Technologies' Weighted Average Shares Outstanding was 2.25 billion in FY2024 (+4.8%), 2.15 billion in FY2023 (+4.1%), 2.06 billion in FY2022 (+7.3%) and 1.92 billion in FY2021 (+96.7%).
- The Q3 2026 figure stands as the highest quarterly Weighted Average Shares Outstanding in data going back to Q4 2018.
- On a year-over-year basis, Weighted Average Shares Outstanding has increased in each of the last 25 quarters, with growth averaging 4.1% over the last eight quarters.
- Over the past five years, the year-over-year growth in Weighted Average Shares Outstanding ranged from 1.2% (Q3 2026) to 96.7% (Q4 2021).
- According to Business Quant data, Weighted Average Shares Outstanding for the three prior quarters was 2.4 billion (Q2 2026), 2.39 billion (Q1 2026) and 2.37 billion (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 406.36 Bn | 371.19 Bn | 1.93 Bn | 2.41 Bn |
| 2 | Oracle | 350.97 Bn | 223.10 Bn | - | 2.97 Bn |
| 3 | Sap Se | 276.32 Bn | 203.72 Bn | 8.64 Bn | 1.17 Bn |
| 4 | Salesforce | 175.73 Bn | 131.60 Bn | 8.70 Bn | 820.00 Mn |
| 5 | Automatic Data Processing | 121.62 Bn | 108.41 Bn | 2.53 Bn | 402.30 Mn |
| 6 | ServiceNow | 107.21 Bn | 86.47 Bn | 2.90 Bn | 1.03 Bn |
| 7 | Intuit | 93.23 Bn | 72.58 Bn | 3.44 Bn | 276.00 Mn |
| 8 | Relx | 73.21 Bn | 72.30 Bn | - | 1.83 Bn |
| 9 | Strategy | 50.23 Bn | 37.36 Bn | 89.63 Mn | 400.15 Mn |
| 10 | Thomson Reuters | 49.31 Bn | 45.27 Bn | - | 448.85 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 2.41 Bn |
| Jun 30, 2026 | 2.40 Bn |
| Mar 31, 2026 | 2.39 Bn |
| Dec 31, 2025 | 2.37 Bn |
| Sep 30, 2025 | 2.38 Bn |
| Jun 30, 2025 | 2.37 Bn |
| Mar 31, 2025 | 2.35 Bn |
| Dec 31, 2024 | 2.25 Bn |
| Sep 30, 2024 | 2.25 Bn |
| Jun 30, 2024 | 2.23 Bn |
| Mar 31, 2024 | 2.21 Bn |
| Dec 31, 2023 | 2.15 Bn |
| Sep 30, 2023 | 2.16 Bn |
| Jun 30, 2023 | 2.13 Bn |
| Mar 31, 2023 | 2.11 Bn |
| Dec 31, 2022 | 2.06 Bn |
| Sep 30, 2022 | 2.07 Bn |
| Jun 30, 2022 | 2.05 Bn |
| Mar 31, 2022 | 2.04 Bn |
| Dec 31, 2021 | 1.92 Bn |
API Access
Palantir Technologies Shares Outstanding 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&ticker=PLTR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "ticker": "PLTR", "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&ticker=PLTR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();