Datadog (DDOG) Shares Outstanding (Diluted) (2018 - 2026)
Datadog (DDOG) recorded Shares Outstanding (Diluted) of 371.02 million in Q2 2026, up 3.4% from 358.73 million a year earlier and up 1.7% from the prior quarter.
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Analysis
Datadog (DDOG) Shares Outstanding (Diluted) (2018 - 2026) Analysis & Trends
For FY2025, Datadog reported Shares Outstanding (Diluted) of 363.47 million, up 1.3% from FY2024.
- Annual Shares Outstanding (Diluted) has increased for eight straight years, with a five-year compound annual growth rate of 3.9% (FY2020 to FY2025).
- Across earlier years, Shares Outstanding (Diluted) came in at 358.64 million in FY2024 (+2.4%), 350.29 million in FY2023 (+11.1%), 315.41 million in FY2022 (+2.1%) and 309.05 million in FY2021 (+2.9%).
- The Q2 2026 figure is the highest quarterly Shares Outstanding (Diluted) in data going back to Q3 2018.
- On a year-over-year basis, Shares Outstanding (Diluted) has increased for 13 consecutive quarters, with growth averaging 1.6% over the last eight quarters.
- Peak year-over-year performance for Shares Outstanding (Diluted) in the last five years was growth of 13.0% in Q1 2022, against a decline of 7.6% in Q1 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at 364.73 million (Q1 2026), 363.47 million (Q4 2025) and 362 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 305.41 Bn | 290.49 Bn | 2.30 Bn | 764.00 Mn |
| 2 | CrowdStrike Holdings | 258.16 Bn | 238.60 Bn | 1.10 Bn | 1.04 Bn |
| 3 | Fortinet | 127.25 Bn | 113.18 Bn | 1.64 Bn | 739.90 Mn |
| 4 | Snowflake | 118.44 Bn | 105.76 Bn | 1.04 Bn | 349.26 Mn |
| 5 | Datadog | 96.25 Bn | 77.89 Bn | 881.34 Mn | 371.02 Mn |
| 6 | Axon Enterprise | 34.94 Bn | 29.46 Bn | 546.45 Mn | 82.54 Mn |
| 7 | MongoDB | 33.06 Bn | 23.53 Bn | 569.77 Mn | 82.00 Mn |
| 8 | Okta | 32.62 Bn | 22.72 Bn | 641.00 Mn | 178.81 Mn |
| 9 | Zscaler | 31.48 Bn | 17.60 Bn | - | 160.22 Mn |
| 10 | Baidu | 29.71 Bn | -43.91 Bn | 1.47 Mn | 42.88 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 371.02 Mn |
| Mar 31, 2026 | 364.73 Mn |
| Dec 31, 2025 | 363.47 Mn |
| Sep 30, 2025 | 362.00 Mn |
| Jun 30, 2025 | 358.73 Mn |
| Mar 31, 2025 | 363.08 Mn |
| Dec 31, 2024 | 358.64 Mn |
| Sep 30, 2024 | 357.64 Mn |
| Jun 30, 2024 | 356.74 Mn |
| Mar 31, 2024 | 355.98 Mn |
| Dec 31, 2023 | 350.29 Mn |
| Sep 30, 2023 | 351.31 Mn |
| Jun 30, 2023 | 322.22 Mn |
| Mar 31, 2023 | 319.29 Mn |
| Dec 31, 2022 | 315.41 Mn |
| Sep 30, 2022 | 315.99 Mn |
| Jun 30, 2022 | 314.80 Mn |
| Mar 31, 2022 | 345.67 Mn |
| Dec 31, 2021 | 309.05 Mn |
| Sep 30, 2021 | 310.25 Mn |
API Access
Datadog 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=DDOG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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-diluted&ticker=DDOG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();