Amazon Com (AMZN) Return on Sales [ROS] (2009 - 2026)
Amazon Com (AMZN) recorded Return on Sales [ROS] of 13.69% in Q4 2026.
Analysis
Amazon Com (AMZN) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
For FY2026, Amazon Com reported Return on Sales [ROS] of 13.43%.
- Annual Return on Sales [ROS] has a five-year change of +8.13 percentage points (FY2021 to FY2026).
- Across earlier years, Return on Sales [ROS] came in at 11.16% in FY2025 (+0.40 pp), 10.75% in FY2024 (+4.34 pp), 6.41% in FY2023 (+4.03 pp) and 2.38% in FY2022 (-2.91 pp).
- The Q4 2026 figure is the highest quarterly Return on Sales [ROS] in data going back to Q4 2009.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,793.10 Bn | 2,309.80 Bn | 104.83 Bn | 13.69% |
| 2 | Home Depot | 289.04 Bn | 282.28 Bn | 16.12 Bn | 14.29% |
| 3 | Tjx Companies | 156.54 Bn | 134.08 Bn | 5.07 Bn | 13.09% |
| 4 | Lowes Companies | 103.75 Bn | 96.71 Bn | 8.58 Bn | 13.67% |
| 5 | Ross Stores | 71.75 Bn | 54.68 Bn | 2.12 Bn | 17.62% |
| 6 | O Reilly Automotive | 71.48 Bn | 70.57 Bn | 2.52 Bn | 20.15% |
| 7 | Target | 69.68 Bn | 64.27 Bn | 8.94 Bn | 9.65% |
| 8 | Autozone | 47.75 Bn | 46.65 Bn | 2.52 Bn | 19.08% |
| 9 | Carvana | 42.66 Bn | 33.15 Bn | 1.38 Bn | 9.22% |
| 10 | JD.com | 38.04 Bn | -82.16 Bn | 8.71 Bn | 1.31% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 13.69% |
| Mar 31, 2026 | 13.14% |
| Sep 30, 2025 | 9.67% |
| Jun 30, 2025 | 11.43% |
| Mar 31, 2025 | 11.82% |
| Sep 30, 2024 | 10.96% |
| Jun 30, 2024 | 9.92% |
| Mar 31, 2024 | 10.68% |
| Sep 30, 2023 | 7.82% |
| Jun 30, 2023 | 5.72% |
| Mar 31, 2023 | 3.75% |
| Sep 30, 2022 | 1.99% |
| Jun 30, 2022 | 2.74% |
| Mar 31, 2022 | 3.15% |
| Sep 30, 2021 | 4.38% |
| Jun 30, 2021 | 6.81% |
| Mar 31, 2021 | 8.17% |
| Dec 31, 2020 | 5.47% |
| Sep 30, 2020 | 6.44% |
| Jun 30, 2020 | 6.57% |
API Access
Amazon Com 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=AMZN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "AMZN", "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=AMZN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();