Datadog (DDOG) Return on Sales [ROS] (2018 - 2026)
Datadog (DDOG) reported Return on Sales [ROS] of 0.49% for Q2 2026, up 4.78 percentage points from -4.29% a year earlier but down 0.24 percentage points from the prior quarter.
Datadog (DDOG) Return on Sales [ROS] (2018 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Datadog's Return on Sales [ROS] came in at 0.41%, up 1.02 percentage points year-over-year; for FY2025, it was -1.29%, down 3.32 percentage points from FY2024.
- Return on Sales [ROS] has a five-year change of +0.99 percentage points (FY2020 to FY2025).
- By year, Return on Sales [ROS] came in at 2.02% in FY2024 (+3.59 pp), -1.57% in FY2023 (+1.93 pp), -3.50% in FY2022 (-1.64 pp) and -1.86% in FY2021 (+0.42 pp).
- Five-year quarterly Return on Sales [ROS] spans a low of -7.38% in Q4 2022 and a high of 4.70% in Q4 2023.
- Year over year, Return on Sales [ROS] gained in three of the last eight quarters, with an average year-over-year change of -0.79 percentage points.
- The high point for year-over-year Return on Sales [ROS] in five years was Q4 2023 (a gain of 12.08 percentage points); the low point was Q1 2023 (a drop of 10.13 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at 0.73% (Q1 2026), 0.98% (Q4 2025) and -0.66% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 305.41 Bn | 290.49 Bn | 2.30 Bn | 5.04% |
| 2 | CrowdStrike Holdings | 258.16 Bn | 238.60 Bn | 1.10 Bn | -2.26% |
| 3 | Fortinet | 127.25 Bn | 113.18 Bn | 1.64 Bn | 33.66% |
| 4 | Snowflake | 118.44 Bn | 105.76 Bn | 1.04 Bn | -17.00% |
| 5 | Datadog | 96.25 Bn | 77.89 Bn | 881.34 Mn | 0.49% |
| 6 | Axon Enterprise | 34.94 Bn | 29.46 Bn | 546.45 Mn | 5.17% |
| 7 | MongoDB | 33.06 Bn | 23.53 Bn | 569.77 Mn | 3.68% |
| 8 | Okta | 32.62 Bn | 22.72 Bn | 641.00 Mn | 13.29% |
| 9 | Zscaler | 31.48 Bn | 17.60 Bn | - | - |
| 10 | Baidu | 29.71 Bn | -43.91 Bn | 1.47 Mn | 9.62% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 0.49% |
| Mar 31, 2026 | 0.73% |
| Dec 31, 2025 | 0.98% |
| Sep 30, 2025 | -0.66% |
| Jun 30, 2025 | -4.29% |
| Mar 31, 2025 | -1.63% |
| Dec 31, 2024 | 1.27% |
| Sep 30, 2024 | 2.94% |
| Jun 30, 2024 | 1.96% |
| Mar 31, 2024 | 1.96% |
| Dec 31, 2023 | 4.70% |
| Sep 30, 2023 | -0.77% |
| Jun 30, 2023 | -4.32% |
| Mar 31, 2023 | -7.26% |
| Dec 31, 2022 | -7.38% |
| Sep 30, 2022 | -7.18% |
| Jun 30, 2022 | -0.77% |
| Mar 31, 2022 | 2.87% |
| Dec 31, 2021 | 2.59% |
| Sep 30, 2021 | -1.81% |
Datadog Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=DDOG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=DDOG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();