Datadog (DDOG) Change in Receivables (2018 - 2026)
Datadog (DDOG) posted Change in Receivables of $151.65 million for Q2 2026, up 30.8% from $115.9 million a year earlier.
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Analysis
Datadog (DDOG) Change in Receivables (2018 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Change in Receivables at Datadog was $241.47 million, up 182.2% year-over-year; for FY2025, it was $157.37 million, up 50.6% from FY2024.
- Annual Change in Receivables shows a five-year compound annual growth rate of 19.6% (FY2020 to FY2025).
- In prior years, Datadog's Change in Receivables was $104.49 million in FY2024 (-14.1%), $121.66 million in FY2023 (-10.3%), $135.7 million in FY2022 (+26.7%) and $107.11 million in FY2021 (+66.7%).
- Quarterly Change in Receivables has run from a low of -$104.23 million in Q1 2025 to a high of $196.26 million in Q4 2025 over five years.
- The strongest year-over-year quarter for Change in Receivables in the past five years was Q4 2023, with growth of 114.5%; the weakest was Q2 2022, with a decline of 9.8%.
- According to Business Quant data, Change in Receivables for the three prior quarters was -$55.87 million (Q1 2026), $196.26 million (Q4 2025) and -$50.56 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 305.41 Bn | 290.49 Bn | 2.30 Bn | 776.00 Mn |
| 2 | CrowdStrike Holdings | 258.16 Bn | 238.60 Bn | 1.10 Bn | 104.65 Mn |
| 3 | Fortinet | 127.25 Bn | 113.18 Bn | 1.64 Bn | -29.90 Mn |
| 4 | Snowflake | 118.44 Bn | 105.76 Bn | 1.04 Bn | 146.59 Mn |
| 5 | Datadog | 96.25 Bn | 77.89 Bn | 881.34 Mn | 151.65 Mn |
| 6 | Axon Enterprise | 34.94 Bn | 29.46 Bn | 546.45 Mn | 305.83 Mn |
| 7 | MongoDB | 33.06 Bn | 23.53 Bn | 569.77 Mn | 69.26 Mn |
| 8 | Okta | 32.62 Bn | 22.72 Bn | 641.00 Mn | 83.00 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 | 151.65 Mn |
| Mar 31, 2026 | -55.87 Mn |
| Dec 31, 2025 | 196.26 Mn |
| Sep 30, 2025 | -50.56 Mn |
| Jun 30, 2025 | 115.90 Mn |
| Mar 31, 2025 | -104.23 Mn |
| Dec 31, 2024 | 116.33 Mn |
| Sep 30, 2024 | -42.43 Mn |
| Jun 30, 2024 | 86.08 Mn |
| Mar 31, 2024 | -55.49 Mn |
| Dec 31, 2023 | 111.47 Mn |
| Sep 30, 2023 | 70.33 Mn |
| Jun 30, 2023 | -31.37 Mn |
| Mar 31, 2023 | -28.77 Mn |
| Dec 31, 2022 | 51.96 Mn |
| Sep 30, 2022 | 45.64 Mn |
| Jun 30, 2022 | 30.78 Mn |
| Mar 31, 2022 | 7.32 Mn |
| Dec 31, 2021 | 45.23 Mn |
| Sep 30, 2021 | 36.97 Mn |
API Access
Datadog Change in Receivables 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=change-in-receivables&ticker=DDOG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-receivables", "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=change-in-receivables&ticker=DDOG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();