Dexcom (DXCM) Return on Sales [ROS] (2009 - 2026)
Dexcom (DXCM) posted Return on Sales [ROS] of 24.34% for Q3 2026, up 4.28 percentage points from 20.05% a year earlier and up 0.01 percentage points from the prior quarter.
Dexcom (DXCM) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Return on Sales [ROS] at Dexcom was 23.98%, up 6.75 percentage points year-over-year; for FY2025, it was 19.56%, up 4.68 percentage points from FY2024.
- Annual Return on Sales [ROS] shows a five-year change of +4.01 percentage points (FY2020 to FY2025).
- In prior years, Dexcom's Return on Sales [ROS] was 14.88% in FY2024 (-1.62 pp), 16.50% in FY2023 (+3.06 pp), 13.44% in FY2022 (+2.59 pp) and 10.86% in FY2021 (-4.69 pp).
- Quarterly Return on Sales [ROS] has run from a low of 0.09% in Q4 2021 to a high of 25.64% in Q4 2025 over five years.
- On a year-over-year basis, Return on Sales [ROS] has increased in each of the last seven quarters, with an average year-over-year change of +4.10 percentage points over the last eight quarters.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was Q4 2022, with a gain of 15.30 percentage points; the weakest was Q4 2021, with a drop of 18.19 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior quarters was 24.33% (Q2 2026), 21.42% (Q1 2026) and 25.64% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 266.22 Bn | 242.86 Bn | 5.13 Bn | 18.65% |
| 2 | Abbott Laboratories | 191.31 Bn | 165.77 Bn | 7.39 Bn | 10.44% |
| 3 | Danaher | 166.16 Bn | 145.82 Bn | 3.84 Bn | 19.00% |
| 4 | Intuitive Surgical | 155.98 Bn | 136.40 Bn | 2.08 Bn | 19.44% |
| 5 | Medtronic | 130.05 Bn | 96.18 Bn | 6.34 Bn | 18.08% |
| 6 | Stryker | 123.40 Bn | 109.59 Bn | 4.25 Bn | 15.86% |
| 7 | Boston Scientific | 64.81 Bn | 60.48 Bn | 3.43 Bn | 16.12% |
| 8 | Edwards Lifesciences | 59.87 Bn | 43.18 Bn | 1.35 Bn | 17.44% |
| 9 | Medline | 53.84 Bn | 50.96 Bn | 1.93 Bn | 6.36% |
| 10 | Dexcom | 29.81 Bn | 21.63 Bn | 864.40 Mn | 24.34% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 24.34% |
| Jun 30, 2026 | 24.33% |
| Mar 31, 2026 | 21.42% |
| Dec 31, 2025 | 25.64% |
| Sep 30, 2025 | 20.05% |
| Jun 30, 2025 | 18.37% |
| Mar 31, 2025 | 12.91% |
| Dec 31, 2024 | 16.96% |
| Sep 30, 2024 | 15.29% |
| Jun 30, 2024 | 15.73% |
| Mar 31, 2024 | 10.98% |
| Dec 31, 2023 | 20.97% |
| Sep 30, 2023 | 21.08% |
| Jun 30, 2023 | 14.70% |
| Mar 31, 2023 | 6.37% |
| Dec 31, 2022 | 15.38% |
| Sep 30, 2022 | 19.17% |
| Jun 30, 2022 | 11.06% |
| Mar 31, 2022 | 6.57% |
| Dec 31, 2021 | 0.09% |
Dexcom 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=DXCM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "DXCM", "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=DXCM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();