Datadog (DDOG) Non-Current Deffered Revenue (2018 - 2026)
Datadog's Non-Current Deffered Revenue came in at $50.86 million for Q2 2026, up 70.3% from $29.87 million a year earlier but down 0.1% from the prior quarter.
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Analysis
Datadog (DDOG) Non-Current Deffered Revenue (2018 - 2026) Analysis & Trends
At the end of FY2025, Datadog's Non-Current Deffered Revenue was $68.71 million, up 202.8% from FY2024.
- Non-Current Deffered Revenue has increased in each of the last three years, with a five-year compound annual growth rate of 81.9% (FY2020 to FY2025).
- Going back by year, Non-Current Deffered Revenue was $22.69 million in FY2024 (+7.0%), $21.21 million in FY2023 (+63.9%), $12.94 million in FY2022 (-6.9%) and $13.9 million in FY2021 (+302.8%).
- The five-year range for quarterly Non-Current Deffered Revenue is $3.27 million (Q3 2021) to $68.71 million (Q4 2025).
- Year-over-year, Non-Current Deffered Revenue has increased for five consecutive quarters, with growth averaging 71.8% over the last eight quarters.
- The fastest year-over-year change in Non-Current Deffered Revenue over five years came in Q4 2021 (growth of 302.8%), and the weakest in Q2 2024 (a decline of 49.0%).
- Business Quant data shows DDOG's Non-Current Deffered Revenue at $50.92 million (Q1 2026), $68.71 million (Q4 2025) and $29.03 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Deffered Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 305.41 Bn | 290.49 Bn | 2.30 Bn | 7.01 Bn |
| 2 | CrowdStrike Holdings | 258.16 Bn | 238.60 Bn | 1.10 Bn | 1.35 Bn |
| 3 | Fortinet | 127.25 Bn | 113.18 Bn | 1.64 Bn | 3.83 Bn |
| 4 | Snowflake | 118.44 Bn | 105.76 Bn | 1.04 Bn | 27.76 Mn |
| 5 | Datadog | 96.25 Bn | 77.89 Bn | 881.34 Mn | 50.86 Mn |
| 6 | Axon Enterprise | 34.94 Bn | 29.46 Bn | 546.45 Mn | 385.66 Mn |
| 7 | MongoDB | 33.06 Bn | 23.53 Bn | 569.77 Mn | 108.23 Mn |
| 8 | Okta | 32.62 Bn | 22.72 Bn | 641.00 Mn | 30.00 Mn |
| 9 | Zscaler | 31.48 Bn | 17.60 Bn | - | 445.27 Mn |
| 10 | Baidu | 29.71 Bn | -43.91 Bn | 1.47 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 50.86 Mn |
| Mar 31, 2026 | 50.92 Mn |
| Dec 31, 2025 | 68.71 Mn |
| Sep 30, 2025 | 29.03 Mn |
| Jun 30, 2025 | 29.87 Mn |
| Mar 31, 2025 | 21.56 Mn |
| Dec 31, 2024 | 22.69 Mn |
| Sep 30, 2024 | 18.40 Mn |
| Jun 30, 2024 | 14.05 Mn |
| Mar 31, 2024 | 26.19 Mn |
| Dec 31, 2023 | 21.21 Mn |
| Sep 30, 2023 | 17.51 Mn |
| Jun 30, 2023 | 27.53 Mn |
| Mar 31, 2023 | 22.51 Mn |
| Dec 31, 2022 | 12.94 Mn |
| Sep 30, 2022 | 9.46 Mn |
| Jun 30, 2022 | 14.53 Mn |
| Mar 31, 2022 | 12.80 Mn |
| Dec 31, 2021 | 13.90 Mn |
| Sep 30, 2021 | 3.27 Mn |
API Access
Datadog Non-Current Deffered Revenue 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=non-current-deffered-revenue&ticker=DDOG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-deffered-revenue", "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=non-current-deffered-revenue&ticker=DDOG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();