Datadog (DDOG) Net Equity Issued and Repurchased (2018 - 2026)
Datadog's Net Equity Issued and Repurchased came in at $29.36 million for Q2 2026, up 9.2% from $26.88 million a year earlier and up 202.3% from the prior quarter.
Datadog (DDOG) Net Equity Issued and Repurchased (2018 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Datadog reported Net Equity Issued and Repurchased of $67.31 million, up 35.3% year-over-year; for FY2025, it came in at $56.82 million, up 30.1% from FY2024.
- Net Equity Issued and Repurchased has increased in each of the last five years, with a five-year compound annual growth rate of 28.8% (FY2020 to FY2025).
- Going back by year, Net Equity Issued and Repurchased was $43.69 million in FY2024 (+16.9%), $37.37 million in FY2023 (+43.6%), $26.03 million in FY2022 (+28.3%) and $20.28 million in FY2021 (+26.7%).
- The Q2 2026 figure represents the highest quarterly Net Equity Issued and Repurchased since Q4 2019.
- Year-over-year, Net Equity Issued and Repurchased has increased for three consecutive quarters, with growth averaging 90.9% over the last six quarters.
- The fastest year-over-year change in Net Equity Issued and Repurchased over five years came in Q1 2026 (growth of 471.2%), and the weakest in Q3 2021 (a decline of 80.6%).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Equity Issued (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn | 1.00 Mn |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn | 85.94 Mn |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn | 44.70 Mn |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn | 7.44 Mn |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn | 29.36 Mn |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn | - |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn | 21.00 Mn |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - | - |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn | - |
| 10 | MongoDB | 26.96 Bn | 17.43 Bn | 569.77 Mn | 23.49 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 29.36 Mn |
| Mar 31, 2026 | 9.71 Mn |
| Dec 31, 2025 | 28.24 Mn |
| Jun 30, 2025 | 26.88 Mn |
| Mar 31, 2025 | 1.70 Mn |
| Dec 31, 2024 | 21.18 Mn |
| Jun 30, 2024 | 20.31 Mn |
| Mar 31, 2024 | 2.20 Mn |
| Dec 31, 2023 | 17.38 Mn |
| Jun 30, 2023 | 17.89 Mn |
| Mar 31, 2023 | 2.10 Mn |
| Dec 31, 2022 | 12.47 Mn |
| Jun 30, 2022 | 9.31 Mn |
| Mar 31, 2022 | 4.25 Mn |
| Dec 31, 2021 | 9.58 Mn |
| Sep 30, 2021 | 906,000.00 |
| Jun 30, 2021 | 6.49 Mn |
| Mar 31, 2021 | 3.30 Mn |
| Dec 31, 2020 | 3.65 Mn |
| Sep 30, 2020 | 4.67 Mn |
Datadog Net Equity Issued and Repurchased 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=net-equity-issued-and-repurchased&ticker=DDOG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-equity-issued-and-repurchased", "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=net-equity-issued-and-repurchased&ticker=DDOG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();