Datadog (DDOG) Shares Outstanding (Entity) (2018 - 2026)
Datadog (DDOG) reported Shares Outstanding (Entity) of 361.02 million for Q3 2026, up 3.0% from 350.55 million a year earlier and up 0.6% from the prior quarter.
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Analysis
Datadog (DDOG) Shares Outstanding (Entity) (2018 - 2026) Analysis & Trends
For FY2025, Datadog posted Shares Outstanding (Entity) of 352.53 million, up 3.0% from FY2024.
- Shares Outstanding (Entity) has increased for three consecutive years, though with a five-year compound annual growth rate of -10.4% (FY2020 to FY2025).
- By year, Shares Outstanding (Entity) came in at 342.12 million in FY2024 (+3.3%), 331.08 million in FY2023 (+3.7%), 319.19 million in FY2022 (-49.1%) and 627.28 million in FY2021 (+2.5%).
- The Q3 2026 figure ranks as the highest quarterly Shares Outstanding (Entity) since Q4 2021.
- Year over year, Shares Outstanding (Entity) has now increased in each of the last 15 quarters, with growth averaging 3.2% over the last eight quarters.
- The high point for year-over-year Shares Outstanding (Entity) in five years was Q1 2024 (growth of 3.9%); the low point was Q4 2022 (a decline of 49.1%).
- Per Business Quant data, the three quarters before Q3 2026 came in at 358.96 million (Q2 2026), 355.85 million (Q1 2026) and 352.53 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Entity.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 235.00 Bn | 220.07 Bn | 2.30 Bn | 815.00 Mn |
| 2 | CrowdStrike Holdings | 221.18 Bn | 201.58 Bn | 1.10 Bn | 1.02 Bn |
| 3 | Snowflake | 96.49 Bn | 83.81 Bn | 1.04 Bn | 352.46 Mn |
| 4 | Fortinet | 87.26 Bn | 71.51 Bn | 1.64 Bn | 734.60 Mn |
| 5 | Datadog | 64.27 Bn | 44.82 Bn | 959.92 Mn | 361.02 Mn |
| 6 | Zscaler | 31.67 Bn | 17.82 Bn | 689.22 Mn | 163.06 Mn |
| 7 | Okta | 29.42 Bn | 19.51 Bn | 641.00 Mn | 167.14 Mn |
| 8 | Axon Enterprise | 25.30 Bn | 19.82 Bn | 546.45 Mn | 81.24 Mn |
| 9 | MongoDB | 25.20 Bn | 15.67 Bn | 569.77 Mn | 80.56 Mn |
| 10 | Roku | 23.89 Bn | 13.92 Bn | 648.52 Mn | 149.07 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 361.02 Mn |
| Jun 30, 2026 | 358.96 Mn |
| Mar 31, 2026 | 355.85 Mn |
| Dec 31, 2025 | 352.53 Mn |
| Sep 30, 2025 | 350.55 Mn |
| Jun 30, 2025 | 348.61 Mn |
| Mar 31, 2025 | 344.91 Mn |
| Dec 31, 2024 | 342.12 Mn |
| Sep 30, 2024 | 339.27 Mn |
| Jun 30, 2024 | 336.77 Mn |
| Mar 31, 2024 | 333.97 Mn |
| Dec 31, 2023 | 331.08 Mn |
| Sep 30, 2023 | 328.25 Mn |
| Jun 30, 2023 | 324.58 Mn |
| Mar 31, 2023 | 321.45 Mn |
| Dec 31, 2022 | 319.19 Mn |
| Sep 30, 2022 | 317.52 Mn |
| Jun 30, 2022 | 316.42 Mn |
| Mar 31, 2022 | 314.92 Mn |
| Dec 31, 2021 | 626.73 Mn |
API Access
Datadog 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=DDOG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-entity", "ticker": "DDOG", "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=DDOG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();