Datadog (DDOG) Prepaid Assets (2018 - 2026)
Datadog (DDOG) posted Prepaid Assets of $108.42 million for Q2 2026, up 60.8% from $67.44 million a year earlier and up 3.8% from the prior quarter.
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Analysis
Datadog (DDOG) Prepaid Assets (2018 - 2026) Analysis & Trends
At the end of FY2025, Datadog's Prepaid Assets came in at $90.16 million, up 34.5% from FY2024.
- Annual Prepaid Assets has increased for seven consecutive years, with a five-year compound annual growth rate of 30.7% (FY2020 to FY2025).
- In prior years, Datadog's Prepaid Assets was $67.04 million in FY2024 (+63.4%), $41.02 million in FY2023 (+50.2%), $27.3 million in FY2022 (+11.7%) and $24.44 million in FY2021 (+3.5%).
- The Q2 2026 figure stands as the highest quarterly Prepaid Assets in data going back to Q4 2018.
- On a year-over-year basis, Prepaid Assets has increased in each of the last 19 quarters, with growth averaging 45.9% over the last eight quarters.
- The strongest year-over-year quarter for Prepaid Assets in the past five years was Q4 2024, with growth of 63.4%; the weakest was Q3 2021, with a decline of 3.8%.
- According to Business Quant data, Prepaid Assets for the three prior quarters was $104.47 million (Q1 2026), $90.16 million (Q4 2025) and $80.92 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palo Alto Networks | 305.41 Bn | 290.49 Bn | 2.30 Bn |
| 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 |
| 6 | Axon Enterprise | 34.94 Bn | 29.46 Bn | 546.45 Mn |
| 7 | MongoDB | 33.06 Bn | 23.53 Bn | 569.77 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
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 108.42 Mn |
| Mar 31, 2026 | 104.47 Mn |
| Dec 31, 2025 | 90.16 Mn |
| Sep 30, 2025 | 80.92 Mn |
| Jun 30, 2025 | 67.44 Mn |
| Mar 31, 2025 | 77.66 Mn |
| Dec 31, 2024 | 67.04 Mn |
| Sep 30, 2024 | 51.19 Mn |
| Jun 30, 2024 | 49.17 Mn |
| Mar 31, 2024 | 54.85 Mn |
| Dec 31, 2023 | 41.02 Mn |
| Sep 30, 2023 | 37.34 Mn |
| Jun 30, 2023 | 44.10 Mn |
| Mar 31, 2023 | 43.20 Mn |
| Dec 31, 2022 | 27.30 Mn |
| Sep 30, 2022 | 31.60 Mn |
| Jun 30, 2022 | 33.20 Mn |
| Mar 31, 2022 | 32.63 Mn |
| Dec 31, 2021 | 24.44 Mn |
| Sep 30, 2021 | 24.68 Mn |
API Access
Datadog Prepaid Assets 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=prepaid-assets&ticker=DDOG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "prepaid-assets", "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=prepaid-assets&ticker=DDOG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();