Datadog (DDOG) Acquisitions (2020 - 2026)
Datadog's Acquisitions came in at $101.65 million for Q2 2026, down 11.8% from $115.27 million a year earlier but up 853.6% from the prior quarter.
Datadog (DDOG) Acquisitions (2020 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Datadog reported Acquisitions of $113.2 million, down 8.5% year-over-year; for FY2025, it came in at $117.98 million.
- Acquisitions carries a five-year compound annual growth rate of 118.6% (FY2020 to FY2025).
- Going back by year, Acquisitions was $7.13 million in FY2024 (-42.9%), $12.5 million in FY2023 (-72.8%), $45.88 million in FY2022 (-79.7%) and $226.51 million in FY2021.
- The five-year range for quarterly Acquisitions is -$146,000 (Q3 2021) to $115.27 million (Q2 2025).
- Year-over-year, Acquisitions increased in two of the last six quarters, with growth averaging 47.9%.
- The fastest year-over-year change in Acquisitions over five years came in Q3 2023 (growth of 490.2%), and the weakest in Q3 2024 (a decline of 95.2%).
- Business Quant data shows DDOG's Acquisitions at $10.66 million (Q1 2026), $700,000 (Q4 2025) and $192,000 (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Acquisitions (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 305.41 Bn | 290.49 Bn | 2.30 Bn | 100.00 Mn |
| 2 | CrowdStrike Holdings | 258.16 Bn | 238.60 Bn | 1.10 Bn | - |
| 3 | Fortinet | 127.25 Bn | 113.18 Bn | 1.64 Bn | - |
| 4 | Snowflake | 118.44 Bn | 105.76 Bn | 1.04 Bn | - |
| 5 | Datadog | 96.25 Bn | 77.89 Bn | 881.34 Mn | 101.65 Mn |
| 6 | Axon Enterprise | 34.94 Bn | 29.46 Bn | 546.45 Mn | 1.91 Mn |
| 7 | MongoDB | 33.06 Bn | 23.53 Bn | 569.77 Mn | 9.24 Mn |
| 8 | Okta | 32.62 Bn | 22.72 Bn | 641.00 Mn | - |
| 9 | Zscaler | 31.48 Bn | 17.60 Bn | - | - |
| 10 | Baidu | 29.71 Bn | -43.91 Bn | 1.47 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 101.65 Mn |
| Mar 31, 2026 | 10.66 Mn |
| Dec 31, 2025 | 700,000.00 |
| Sep 30, 2025 | 192,000.00 |
| Jun 30, 2025 | 115.27 Mn |
| Mar 31, 2025 | 1.82 Mn |
| Dec 31, 2024 | 6.48 Mn |
| Sep 30, 2024 | 210,000.00 |
| Jun 30, 2024 | 444,000.00 |
| Dec 31, 2023 | 6.13 Mn |
| Sep 30, 2023 | 4.34 Mn |
| Jun 30, 2023 | 2.03 Mn |
| Dec 31, 2022 | 5.58 Mn |
| Sep 30, 2022 | 736,000.00 |
| Jun 30, 2022 | 34.70 Mn |
| Mar 31, 2022 | 4.87 Mn |
| Dec 31, 2021 | 26.30 Mn |
| Sep 30, 2021 | -146,000.00 |
| Jun 30, 2021 | 188.84 Mn |
| Mar 31, 2021 | 11.51 Mn |
Datadog Acquisitions 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=acquisitions&ticker=DDOG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "acquisitions", "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=acquisitions&ticker=DDOG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();