Datadog (DDOG) Payables (2018 - 2026)
Datadog (DDOG) posted Payables of $313.53 million for Q2 2026, up 57.7% from $198.77 million a year earlier and up 79.4% from the prior quarter.
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Analysis
Datadog (DDOG) Payables (2018 - 2026) Analysis & Trends
At the end of FY2025, Datadog's Payables came in at $148.79 million, down 79.9% from FY2024.
- Annual Payables shows a five-year compound annual growth rate of 47.5% (FY2020 to FY2025).
- In prior years, Datadog's Payables was $741.75 million in FY2024 (+745.7%), $87.71 million in FY2023 (+273.7%), $23.47 million in FY2022 (-7.1%) and $25.27 million in FY2021 (+18.4%).
- The Q2 2026 figure stands as the highest quarterly Payables since Q1 2025.
- On a year-over-year basis, Payables increased in three of the last seven quarters, with growth averaging 195.3%.
- The strongest year-over-year quarter for Payables in the past five years was Q3 2024, with growth of 880.4%; the weakest was Q3 2025, with a decline of 83.8%.
- According to Business Quant data, Payables for the three prior quarters was $174.8 million (Q1 2026), $148.79 million (Q4 2025) and $135.24 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 305.41 Bn | 290.49 Bn | 2.30 Bn | 290.00 Mn |
| 2 | CrowdStrike Holdings | 258.16 Bn | 238.60 Bn | 1.10 Bn | 114.49 Mn |
| 3 | Fortinet | 127.25 Bn | 113.18 Bn | 1.64 Bn | 282.50 Mn |
| 4 | Snowflake | 118.44 Bn | 105.76 Bn | 1.04 Bn | 185.25 Mn |
| 5 | Datadog | 96.25 Bn | 77.89 Bn | 881.34 Mn | 313.53 Mn |
| 6 | Axon Enterprise | 34.94 Bn | 29.46 Bn | 546.45 Mn | 269.96 Mn |
| 7 | MongoDB | 33.06 Bn | 23.53 Bn | 569.77 Mn | 17.69 Mn |
| 8 | Okta | 32.62 Bn | 22.72 Bn | 641.00 Mn | 10.00 Mn |
| 9 | Zscaler | 31.48 Bn | 17.60 Bn | - | 47.97 Mn |
| 10 | Baidu | 29.71 Bn | -43.91 Bn | 1.47 Mn | 12.65 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 313.53 Mn |
| Mar 31, 2026 | 174.80 Mn |
| Dec 31, 2025 | 148.79 Mn |
| Sep 30, 2025 | 135.24 Mn |
| Jun 30, 2025 | 198.77 Mn |
| Mar 31, 2025 | 733.22 Mn |
| Dec 31, 2024 | 741.75 Mn |
| Sep 30, 2024 | 836.86 Mn |
| Jun 30, 2024 | 859.96 Mn |
| Mar 31, 2024 | 64.32 Mn |
| Dec 31, 2023 | 87.71 Mn |
| Sep 30, 2023 | 85.36 Mn |
| Jun 30, 2023 | 48.03 Mn |
| Mar 31, 2023 | 41.60 Mn |
| Dec 31, 2022 | 23.47 Mn |
| Sep 30, 2022 | 27.63 Mn |
| Jun 30, 2022 | 47.65 Mn |
| Mar 31, 2022 | 18.63 Mn |
| Dec 31, 2021 | 25.27 Mn |
| Sep 30, 2021 | 34.65 Mn |
API Access
Datadog Payables 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=payables&ticker=DDOG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "payables", "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=payables&ticker=DDOG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();