Dexcom (DXCM) Return on Sales [ROS] (2010 - 2026)
Dexcom (DXCM) posted Return on Sales [ROS] of 24.33% for Q2 2026, up 5.95 percentage points from 18.37% a year earlier and up 2.91 percentage points from the prior quarter.
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Analysis
Dexcom (DXCM) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Return on Sales [ROS] at Dexcom was 22.92%, up 6.94 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 six quarters, with an average year-over-year change of +2.84 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 21.42% (Q1 2026), 25.64% (Q4 2025) and 20.05% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn | 17.40% |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn | 13.44% |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn | 17.99% |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn | 33.60% |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn | 18.08% |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn | 25.18% |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn | 21.65% |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn | 29.48% |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn | 13.31% |
| 10 | Dexcom | 32.21 Bn | 22.53 Bn | 830.00 Mn | 24.33% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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% |
| Sep 30, 2021 | 18.19% |
API Access
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_KEYimport 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();