Dexcom (DXCM) EBIT (2010 - 2026)
Dexcom (DXCM) posted EBIT of $318.3 million for Q2 2026, up 49.7% from $212.6 million a year earlier and up 24.7% from the prior quarter.
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Analysis
Dexcom (DXCM) EBIT (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBIT at Dexcom was $1.14 billion, up 65.8% year-over-year; for FY2025, it was $911.8 million, up 52.0% from FY2024.
- Annual EBIT has increased for four consecutive years, with a five-year compound annual growth rate of 24.9% (FY2020 to FY2025).
- In prior years, Dexcom's EBIT was $600 million in FY2024 (+0.4%), $597.7 million in FY2023 (+52.8%), $391.2 million in FY2022 (+47.2%) and $265.8 million in FY2021 (-11.3%).
- Quarterly EBIT has run from a low of $600,000 in Q4 2021 to a high of $323 million in Q4 2025 over five years.
- On a year-over-year basis, EBIT has increased in each of the last six quarters, with growth averaging 37.4% over the last eight quarters.
- The strongest year-over-year quarter for EBIT in the past five years was Q1 2024, with growth of 114.2%; the weakest was Q4 2021, with a decline of 99.4%.
- According to Business Quant data, EBIT for the three prior quarters was $255.3 million (Q1 2026), $323 million (Q4 2025) and $242.5 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 2.09 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 1.69 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 1.13 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | 971.90 Mn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 1.76 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 1.66 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 1.18 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 513.20 Mn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 663.00 Mn |
| 10 | Dexcom | 32.57 Bn | 22.88 Bn | 830.00 Mn | 318.30 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 318.30 Mn |
| Mar 31, 2026 | 255.30 Mn |
| Dec 31, 2025 | 323.00 Mn |
| Sep 30, 2025 | 242.50 Mn |
| Jun 30, 2025 | 212.60 Mn |
| Mar 31, 2025 | 133.70 Mn |
| Dec 31, 2024 | 188.90 Mn |
| Sep 30, 2024 | 152.00 Mn |
| Jun 30, 2024 | 158.00 Mn |
| Mar 31, 2024 | 101.10 Mn |
| Dec 31, 2023 | 216.90 Mn |
| Sep 30, 2023 | 205.50 Mn |
| Jun 30, 2023 | 128.10 Mn |
| Mar 31, 2023 | 47.20 Mn |
| Dec 31, 2022 | 125.40 Mn |
| Sep 30, 2022 | 147.50 Mn |
| Jun 30, 2022 | 77.00 Mn |
| Mar 31, 2022 | 41.30 Mn |
| Dec 31, 2021 | 600,000.00 |
| Sep 30, 2021 | 118.30 Mn |
API Access
Dexcom EBIT 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=ebit&ticker=DXCM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "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=ebit&ticker=DXCM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();