Datadog (DDOG) Cash & Equivalents (2018 - 2026)
Datadog's Cash & Equivalents was $434.96 million in Q2 2026, down 11.1% from $489.03 million a year earlier but up 2.0% from the prior quarter.
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Analysis
Datadog (DDOG) Cash & Equivalents (2018 - 2026) Analysis & Trends
At the end of FY2025, Cash & Equivalents at Datadog came in at $401.31 million, down 67.8% from FY2024.
- Cash & Equivalents shows a five-year compound annual growth rate of 12.3% (FY2020 to FY2025).
- In earlier years, Cash & Equivalents was $1.25 billion in FY2024 (+277.5%), $330.34 million in FY2023 (-2.6%), $338.99 million in FY2022 (+25.1%) and $270.97 million in FY2021 (+20.5%).
- Quarterly Cash & Equivalents has moved between $222.55 million (Q1 2023) and $1.25 billion (Q4 2024) over five years.
- Compared with a year earlier, Cash & Equivalents has declined for three straight quarters, with growth averaging 66.1% over the last eight quarters.
- The best year-over-year quarter for Cash & Equivalents over five years was Q1 2025 (growth of 282.6%); the worst was Q4 2025 (a decline of 67.8%).
- Per Business Quant data, DDOG's Cash & Equivalents in the three quarters before Q2 2026 was $426.36 million (Q1 2026), $401.31 million (Q4 2025) and $540.6 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 305.41 Bn | 290.49 Bn | 2.30 Bn | 2.51 Bn |
| 2 | CrowdStrike Holdings | 258.16 Bn | 238.60 Bn | 1.10 Bn | 5.01 Bn |
| 3 | Fortinet | 127.25 Bn | 113.18 Bn | 1.64 Bn | 2.93 Bn |
| 4 | Snowflake | 118.44 Bn | 105.76 Bn | 1.04 Bn | 1.71 Bn |
| 5 | Datadog | 96.25 Bn | 77.89 Bn | 881.34 Mn | 434.96 Mn |
| 6 | Axon Enterprise | 34.94 Bn | 29.46 Bn | 546.45 Mn | 597.70 Mn |
| 7 | MongoDB | 33.06 Bn | 23.53 Bn | 569.77 Mn | 1.00 Bn |
| 8 | Okta | 32.62 Bn | 22.72 Bn | 641.00 Mn | 763.00 Mn |
| 9 | Zscaler | 31.48 Bn | 17.60 Bn | - | 928.35 Mn |
| 10 | Baidu | 29.71 Bn | -43.91 Bn | 1.47 Mn | 3.61 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 434.96 Mn |
| Mar 31, 2026 | 426.36 Mn |
| Dec 31, 2025 | 401.31 Mn |
| Sep 30, 2025 | 540.60 Mn |
| Jun 30, 2025 | 489.03 Mn |
| Mar 31, 2025 | 1.08 Bn |
| Dec 31, 2024 | 1.25 Bn |
| Sep 30, 2024 | 337.42 Mn |
| Jun 30, 2024 | 410.96 Mn |
| Mar 31, 2024 | 282.22 Mn |
| Dec 31, 2023 | 330.34 Mn |
| Sep 30, 2023 | 261.31 Mn |
| Jun 30, 2023 | 291.30 Mn |
| Mar 31, 2023 | 222.55 Mn |
| Dec 31, 2022 | 338.99 Mn |
| Sep 30, 2022 | 294.82 Mn |
| Jun 30, 2022 | 238.86 Mn |
| Mar 31, 2022 | 271.69 Mn |
| Dec 31, 2021 | 270.97 Mn |
| Sep 30, 2021 | 286.97 Mn |
API Access
Datadog Cash & Equivalents 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=cash-and-equivalents&ticker=DDOG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=DDOG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();