Datadog (DDOG) Shares Outstanding (2018 - 2026)
Datadog (DDOG) recorded Weighted Average Shares Outstanding of 358.62 million in Q3 2026, up 2.9% from 348.65 million a year earlier and up 0.7% from the prior quarter.
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Analysis
Datadog (DDOG) Shares Outstanding (2018 - 2026) Analysis & Trends
For FY2025, Datadog reported Weighted Average Shares Outstanding of 347.31 million, up 3.3% from FY2024.
- Annual Weighted Average Shares Outstanding has increased for eight straight years, with a five-year compound annual growth rate of 2.9% (FY2020 to FY2025).
- Across earlier years, Weighted Average Shares Outstanding came in at 336.17 million in FY2024 (+3.7%), 324.03 million in FY2023 (+2.7%), 315.41 million in FY2022 (+2.1%) and 309.05 million in FY2021 (+2.9%).
- The Q3 2026 figure is the highest quarterly Weighted Average Shares Outstanding in data going back to Q3 2018.
- On a year-over-year basis, Weighted Average Shares Outstanding has increased for 25 consecutive quarters, with growth averaging 3.2% over the last eight quarters.
- The year-over-year growth in Weighted Average Shares Outstanding has ranged between 1.9% (Q3 2022) and 3.9% (Q2 2024) over the last five years.
- Per Business Quant, the preceding three quarters came in at 356.25 million (Q2 2026), 353.27 million (Q1 2026) and 347.31 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 235.00 Bn | 220.07 Bn | 2.30 Bn | 749.00 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 | 349.26 Mn |
| 4 | Fortinet | 87.26 Bn | 71.51 Bn | 1.64 Bn | 734.20 Mn |
| 5 | Datadog | 64.27 Bn | 44.82 Bn | 959.92 Mn | 358.62 Mn |
| 6 | Zscaler | 31.67 Bn | 17.82 Bn | 689.22 Mn | 160.22 Mn |
| 7 | Okta | 29.42 Bn | 19.51 Bn | 641.00 Mn | 174.30 Mn |
| 8 | Axon Enterprise | 25.30 Bn | 19.82 Bn | 546.45 Mn | 80.57 Mn |
| 9 | MongoDB | 25.20 Bn | 15.67 Bn | 569.77 Mn | 80.50 Mn |
| 10 | Roku | 23.89 Bn | 13.92 Bn | 648.52 Mn | 148.65 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 358.62 Mn |
| Jun 30, 2026 | 356.25 Mn |
| Mar 31, 2026 | 353.27 Mn |
| Dec 31, 2025 | 347.31 Mn |
| Sep 30, 2025 | 348.65 Mn |
| Jun 30, 2025 | 346.19 Mn |
| Mar 31, 2025 | 343.10 Mn |
| Dec 31, 2024 | 336.17 Mn |
| Sep 30, 2024 | 337.56 Mn |
| Jun 30, 2024 | 334.94 Mn |
| Mar 31, 2024 | 331.81 Mn |
| Dec 31, 2023 | 324.03 Mn |
| Sep 30, 2023 | 325.56 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 | 313.46 Mn |
| Dec 31, 2021 | 309.05 Mn |
API Access
Datadog 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=DDOG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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&ticker=DDOG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();