Dexcom (DXCM) Return on Capital Employed [ROCE] (2009 - 2026)
Dexcom (DXCM) posted Return on Capital Employed [ROCE] of 29.89% for Q3 2026, up 10.82 percentage points from 19.07% a year earlier and up 2.68 percentage points from the prior quarter.
Dexcom (DXCM) Return on Capital Employed [ROCE] (2009 - 2026) Analysis & Trends
For FY2025, Dexcom's Return on Capital Employed [ROCE] came in at 21.36%, up 3.93 percentage points from FY2024.
- Annual Return on Capital Employed [ROCE] has increased for four consecutive years, with a five-year change of +10.38 percentage points (FY2020 to FY2025).
- In prior years, Dexcom's Return on Capital Employed [ROCE] was 17.43% in FY2024 (+3.44 pp), 13.99% in FY2023 (+2.22 pp), 11.77% in FY2022 (+4.94 pp) and 6.83% in FY2021 (-4.15 pp).
- The Q3 2026 figure stands as the highest quarterly Return on Capital Employed [ROCE] in data going back to Q3 2011.
- On a year-over-year basis, Return on Capital Employed [ROCE] has increased in each of the last 16 quarters, with an average year-over-year change of +5.96 percentage points over the last eight quarters.
- The strongest year-over-year quarter for Return on Capital Employed [ROCE] in the past five years was Q3 2026, with a gain of 10.82 percentage points; the weakest was Q2 2022, with a drop of 3.49 percentage points.
- According to Business Quant data, Return on Capital Employed [ROCE] for the three prior quarters was 27.21% (Q2 2026), 24.24% (Q1 2026) and 19.09% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 266.22 Bn | 242.86 Bn | 5.13 Bn | 8.51% |
| 2 | Abbott Laboratories | 191.31 Bn | 165.77 Bn | 7.39 Bn | 7.18% |
| 3 | Danaher | 166.16 Bn | 145.82 Bn | 3.84 Bn | 6.23% |
| 4 | Intuitive Surgical | 155.98 Bn | 136.40 Bn | 2.08 Bn | 18.68% |
| 5 | Medtronic | 130.05 Bn | 96.18 Bn | 6.34 Bn | 13.86% |
| 6 | Stryker | 123.40 Bn | 109.59 Bn | 4.25 Bn | 13.22% |
| 7 | Boston Scientific | 64.81 Bn | 60.48 Bn | 3.43 Bn | 9.99% |
| 8 | Edwards Lifesciences | 59.87 Bn | 43.18 Bn | 1.35 Bn | 11.59% |
| 9 | Medline | 53.84 Bn | 50.96 Bn | 1.93 Bn | 4.76% |
| 10 | Dexcom | 29.81 Bn | 21.63 Bn | 864.40 Mn | 29.89% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 29.89% |
| Jun 30, 2026 | 27.21% |
| Mar 31, 2026 | 24.24% |
| Dec 31, 2025 | 19.09% |
| Sep 30, 2025 | 19.07% |
| Jun 30, 2025 | 18.42% |
| Mar 31, 2025 | 17.67% |
| Dec 31, 2024 | 17.21% |
| Sep 30, 2024 | 12.97% |
| Jun 30, 2024 | 13.86% |
| Mar 31, 2024 | 13.63% |
| Dec 31, 2023 | 12.26% |
| Sep 30, 2023 | 10.06% |
| Jun 30, 2023 | 10.94% |
| Mar 31, 2023 | 11.06% |
| Dec 31, 2022 | 11.83% |
| Sep 30, 2022 | 6.41% |
| Jun 30, 2022 | 5.48% |
| Mar 31, 2022 | 6.10% |
| Dec 31, 2021 | 6.43% |
Dexcom Return on Capital Employed [ROCE] 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-capital-employed-%5Broce%5D&ticker=DXCM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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-capital-employed-%5Broce%5D&ticker=DXCM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();