Datadog (DDOG) Retained Earnings (2018 - 2026)
Datadog (DDOG) posted Retained Earnings of $353.24 million for Q3 2026, up 287.2% from $91.22 million a year earlier and up 50.4% from the prior quarter.
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Analysis
Datadog (DDOG) Retained Earnings (2018 - 2026) Analysis & Trends
At the end of FY2025, Datadog's Retained Earnings came in at $137.79 million, up 358.6% from FY2024.
- In prior years, Datadog's Retained Earnings was $30.05 million in FY2024, -$153.7 million in FY2023, -$202.27 million in FY2022 and -$152.11 million in FY2021.
- The Q3 2026 figure stands as the highest quarterly Retained Earnings in data going back to Q4 2018.
- On a year-over-year basis, Retained Earnings has increased in each of the last four quarters, with growth averaging 300.9% over the last four quarters.
- According to Business Quant data, Retained Earnings for the three prior quarters was $234.92 million (Q2 2026), $190.36 million (Q1 2026) and $137.79 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 235.00 Bn | 220.07 Bn | 2.30 Bn | 2.79 Bn |
| 2 | CrowdStrike Holdings | 221.18 Bn | 201.58 Bn | 1.10 Bn | -1.25 Bn |
| 3 | Snowflake | 96.49 Bn | 83.81 Bn | 1.04 Bn | -10.28 Bn |
| 4 | Fortinet | 87.26 Bn | 71.51 Bn | 1.64 Bn | 318.80 Mn |
| 5 | Datadog | 64.27 Bn | 44.82 Bn | 959.92 Mn | 353.24 Mn |
| 6 | Zscaler | 31.67 Bn | 17.82 Bn | 689.22 Mn | -1.25 Bn |
| 7 | Okta | 29.42 Bn | 19.51 Bn | 641.00 Mn | -2.38 Bn |
| 8 | Axon Enterprise | 25.30 Bn | 19.82 Bn | 546.45 Mn | 1.14 Bn |
| 9 | MongoDB | 25.20 Bn | 15.67 Bn | 569.77 Mn | -1.87 Bn |
| 10 | Roku | 23.89 Bn | 13.92 Bn | 648.52 Mn | -1.22 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 353.24 Mn |
| Jun 30, 2026 | 234.92 Mn |
| Mar 31, 2026 | 190.36 Mn |
| Dec 31, 2025 | 137.79 Mn |
| Sep 30, 2025 | 91.22 Mn |
| Jun 30, 2025 | 57.34 Mn |
| Mar 31, 2025 | 54.69 Mn |
| Dec 31, 2024 | 30.05 Mn |
| Sep 30, 2024 | -15.55 Mn |
| Jun 30, 2024 | -67.24 Mn |
| Mar 31, 2024 | -111.07 Mn |
| Dec 31, 2023 | -153.70 Mn |
| Sep 30, 2023 | -207.69 Mn |
| Jun 30, 2023 | -230.32 Mn |
| Mar 31, 2023 | -226.35 Mn |
| Dec 31, 2022 | -202.27 Mn |
| Sep 30, 2022 | -173.23 Mn |
| Jun 30, 2022 | -147.25 Mn |
| Mar 31, 2022 | -142.37 Mn |
| Dec 31, 2021 | -152.11 Mn |
API Access
Datadog Retained Earnings 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=retained-earnings&ticker=DDOG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "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=retained-earnings&ticker=DDOG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();