Datadog (DDOG) Accounts Payables (2018 - 2026)
Datadog's Accounts Payables was $313.53 million in 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) Accounts Payables (2018 - 2026) Analysis & Trends
At the end of FY2025, Accounts Payables at Datadog came in at $148.79 million, up 38.1% from FY2024.
- Accounts Payables has now increased for three consecutive years, with a five-year compound annual growth rate of 47.5% (FY2020 to FY2025).
- In earlier years, Accounts Payables was $107.73 million in FY2024 (+22.8%), $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 marks the highest quarterly Accounts Payables in data going back to Q4 2018.
- Compared with a year earlier, Accounts Payables has increased for 14 straight quarters, with growth averaging 46.9% over the last eight quarters.
- The best year-over-year quarter for Accounts Payables over five years was Q4 2023 (growth of 273.7%); the worst was Q3 2022 (a decline of 20.3%).
- Per Business Quant data, DDOG's Accounts Payables in the three quarters before Q2 2026 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) | Accounts Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 323.81 Bn | 308.88 Bn | 2.30 Bn | 290.00 Mn |
| 2 | CrowdStrike Holdings | 271.09 Bn | 251.53 Bn | 1.10 Bn | 114.49 Mn |
| 3 | Fortinet | 131.14 Bn | 117.07 Bn | 1.64 Bn | 282.50 Mn |
| 4 | Snowflake | 119.71 Bn | 107.03 Bn | 1.04 Bn | 185.25 Mn |
| 5 | Datadog | 98.30 Bn | 79.94 Bn | 881.34 Mn | 313.53 Mn |
| 6 | Okta | 34.95 Bn | 25.05 Bn | 641.00 Mn | 10.00 Mn |
| 7 | Axon Enterprise | 34.32 Bn | 28.85 Bn | 546.45 Mn | 269.96 Mn |
| 8 | Zscaler | 32.52 Bn | 18.64 Bn | - | 47.97 Mn |
| 9 | Baidu | 29.56 Bn | -44.07 Bn | 1.47 Mn | 5.90 Bn |
| 10 | MongoDB | 28.08 Bn | 18.55 Bn | 569.77 Mn | 17.69 Mn |
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 | 98.44 Mn |
| Dec 31, 2024 | 107.73 Mn |
| Sep 30, 2024 | 92.01 Mn |
| Jun 30, 2024 | 115.99 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 Accounts 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=accounts-payables&ticker=DDOG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accounts-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=accounts-payables&ticker=DDOG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();