Datadog (DDOG) Receivables - Other (2018 - 2026)
Datadog's Receivables - Other came in at $169.9 million for Q3 2026, up 93.1% from $88 million a year earlier and up 14.6% from the prior quarter.
Analysis
Datadog (DDOG) Receivables - Other (2018 - 2026) Analysis & Trends
At the end of FY2025, Datadog's Receivables - Other was $127 million, up 64.9% from FY2024.
- Receivables - Other has increased in each of the last seven years, with a five-year compound annual growth rate of 44.6% (FY2020 to FY2025).
- Going back by year, Receivables - Other was $77 million in FY2024 (+25.8%), $61.2 million in FY2023 (+2.0%), $60 million in FY2022 (+35.7%) and $44.2 million in FY2021 (+119.9%).
- The Q3 2026 figure represents the highest quarterly Receivables - Other in data going back to Q4 2018.
- Year-over-year, Receivables - Other has increased for four consecutive quarters, with growth averaging 41.8% over the last eight quarters.
- The fastest year-over-year change in Receivables - Other over five years came in Q4 2021 (growth of 464.1%), and the weakest in Q3 2023 (a decline of 6.0%).
- Business Quant data shows DDOG's Receivables - Other at $148.2 million (Q2 2026), $134.1 million (Q1 2026) and $127 million (Q4 2025) in the three quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palo Alto Networks | 235.00 Bn | 220.07 Bn | 2.30 Bn |
| 2 | CrowdStrike Holdings | 221.18 Bn | 201.58 Bn | 1.10 Bn |
| 3 | Snowflake | 96.49 Bn | 83.81 Bn | 1.04 Bn |
| 4 | Fortinet | 87.26 Bn | 71.51 Bn | 1.64 Bn |
| 5 | Datadog | 64.27 Bn | 44.82 Bn | 959.92 Mn |
| 6 | Zscaler | 31.67 Bn | 17.82 Bn | 689.22 Mn |
| 7 | Okta | 29.42 Bn | 19.51 Bn | 641.00 Mn |
| 8 | Axon Enterprise | 25.30 Bn | 19.82 Bn | 546.45 Mn |
| 9 | MongoDB | 25.20 Bn | 15.67 Bn | 569.77 Mn |
| 10 | Roku | 23.89 Bn | 13.92 Bn | 648.52 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 169.90 Mn |
| Jun 30, 2026 | 148.20 Mn |
| Mar 31, 2026 | 134.10 Mn |
| Dec 31, 2025 | 127.00 Mn |
| Sep 30, 2025 | 88.00 Mn |
| Jun 30, 2025 | 92.30 Mn |
| Mar 31, 2025 | 83.40 Mn |
| Dec 31, 2024 | 77.00 Mn |
| Sep 30, 2024 | 88.20 Mn |
| Jun 30, 2024 | 77.80 Mn |
| Mar 31, 2024 | 75.50 Mn |
| Dec 31, 2023 | 61.20 Mn |
| Sep 30, 2023 | 59.30 Mn |
| Jun 30, 2023 | 66.70 Mn |
| Mar 31, 2023 | 63.00 Mn |
| Dec 31, 2022 | 60.00 Mn |
| Sep 30, 2022 | 63.10 Mn |
| Jun 30, 2022 | 58.20 Mn |
| Mar 31, 2022 | 49.10 Mn |
| Dec 31, 2021 | 44.20 Mn |
API Access
Datadog Receivables - Other 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-other&ticker=DDOG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables-other", "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-other&ticker=DDOG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();