Datadog (DDOG) Receivables - Net (2018 - 2026)
Datadog (DDOG) reported Receivables - Net of $827.35 million for Q2 2026, up 36.9% from $604.17 million a year earlier and up 21.6% from the prior quarter.
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Analysis
Datadog (DDOG) Receivables - Net (2018 - 2026) Analysis & Trends
At the end of FY2025, Datadog posted Receivables - Net of $741.26 million, up 23.8% from FY2024.
- Receivables - Net has increased for seven consecutive years, with a five-year compound annual growth rate of 35.3% (FY2020 to FY2025).
- By year, Receivables - Net came in at $598.92 million in FY2024 (+17.6%), $509.28 million in FY2023 (+27.5%), $399.55 million in FY2022 (+48.6%) and $268.82 million in FY2021 (+64.6%).
- The Q2 2026 figure ranks as the highest quarterly Receivables - Net in data going back to Q4 2018.
- Year over year, Receivables - Net has now increased in each of the last 20 quarters, with growth averaging 21.7% over the last eight quarters.
- Over the past five years, the year-over-year growth in Receivables - Net ranged from 8.7% (Q1 2025) to 85.6% (Q3 2021).
- Per Business Quant data, the three quarters before Q2 2026 came in at $680.43 million (Q1 2026), $741.26 million (Q4 2025) and $549.65 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 | 827.35 Mn |
| Mar 31, 2026 | 680.43 Mn |
| Dec 31, 2025 | 741.26 Mn |
| Sep 30, 2025 | 549.65 Mn |
| Jun 30, 2025 | 604.17 Mn |
| Mar 31, 2025 | 490.17 Mn |
| Dec 31, 2024 | 598.92 Mn |
| Sep 30, 2024 | 487.06 Mn |
| Jun 30, 2024 | 533.29 Mn |
| Mar 31, 2024 | 451.06 Mn |
| Dec 31, 2023 | 509.28 Mn |
| Sep 30, 2023 | 400.65 Mn |
| Jun 30, 2023 | 333.10 Mn |
| Mar 31, 2023 | 367.05 Mn |
| Dec 31, 2022 | 399.55 Mn |
| Sep 30, 2022 | 348.83 Mn |
| Jun 30, 2022 | 305.50 Mn |
| Mar 31, 2022 | 275.34 Mn |
| Dec 31, 2021 | 268.82 Mn |
| Sep 30, 2021 | 224.60 Mn |
API Access
Datadog Receivables - Net 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=receivables-net&ticker=DDOG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables-net", "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=receivables-net&ticker=DDOG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();