CS Disco (LAW) Shares Outstanding (Entity) (2020 - 2026)
CS Disco (LAW) posted Shares Outstanding (Entity) of 64.86 million for Q2 2026, up 5.1% from 61.69 million a year earlier and up 1.1% from the prior quarter.
CS Disco (LAW) Shares Outstanding (Entity) (2020 - 2026) Analysis & Trends
For FY2025, CS Disco's Shares Outstanding (Entity) came in at 63.26 million, up 4.9% from FY2024.
- Annual Shares Outstanding (Entity) shows a five-year compound annual growth rate of 36.1% (FY2020 to FY2025).
- In prior years, CS Disco's Shares Outstanding (Entity) was 60.33 million in FY2024 (-1.1%), 61.01 million in FY2023 (+3.1%), 59.19 million in FY2022 (+78.2%) and 33.21 million in FY2021 (+145.4%).
- The Q2 2026 figure stands as the highest quarterly Shares Outstanding (Entity) in data going back to Q2 2020.
- On a year-over-year basis, Shares Outstanding (Entity) has increased in each of the last five quarters, with growth averaging 2.6% over the last eight quarters.
- The strongest year-over-year quarter for Shares Outstanding (Entity) in the past five years was Q1 2022, with growth of 330.1%; the weakest was Q3 2024, with a decline of 1.2%.
- According to Business Quant data, Shares Outstanding (Entity) for the three prior quarters was 64.13 million (Q1 2026), 63.26 million (Q4 2025) and 62.49 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Entity.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 449.46 Bn | 418.52 Bn | 1.64 Bn | 2.40 Bn |
| 2 | Oracle | 415.29 Bn | 287.84 Bn | - | 3.02 Bn |
| 3 | Sap Se | 256.30 Bn | 177.39 Bn | 8.40 Bn | - |
| 4 | Salesforce | 188.94 Bn | 144.82 Bn | 8.70 Bn | 823.00 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 | 397.80 Mn |
| 7 | Intuit | 74.00 Bn | 53.35 Bn | 3.44 Bn | 268.38 Mn |
| 8 | Relx | 60.34 Bn | 57.31 Bn | - | - |
| 9 | Strategy | 53.88 Bn | 46.87 Bn | 81.55 Mn | 351.96 Mn |
| 10 | CS Disco | 265.27 Mn | -167.25 Mn | 32.11 Mn | 64.86 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 64.86 Mn |
| Mar 31, 2026 | 64.13 Mn |
| Dec 31, 2025 | 63.26 Mn |
| Sep 30, 2025 | 62.49 Mn |
| Jun 30, 2025 | 61.69 Mn |
| Mar 31, 2025 | 60.81 Mn |
| Dec 31, 2024 | 60.33 Mn |
| Sep 30, 2024 | 59.91 Mn |
| Jun 30, 2024 | 59.43 Mn |
| Mar 31, 2024 | 61.10 Mn |
| Dec 31, 2023 | 61.01 Mn |
| Sep 30, 2023 | 60.62 Mn |
| Jun 30, 2023 | 60.06 Mn |
| Mar 31, 2023 | 59.64 Mn |
| Dec 31, 2022 | 59.19 Mn |
| Sep 30, 2022 | 59.01 Mn |
| Jun 30, 2022 | 58.66 Mn |
| Mar 31, 2022 | 58.43 Mn |
| Dec 31, 2021 | 33.21 Mn |
| Sep 30, 2021 | 47.71 Mn |
CS Disco Shares Outstanding (Entity) 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-entity&ticker=LAW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-entity", "ticker": "LAW", "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-entity&ticker=LAW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();