Dexcom (DXCM) EBITDA (2010 - 2026)
Dexcom (DXCM) posted EBITDA of $401.7 million for Q3 2026, up 31.2% from $306.1 million a year earlier and up 3.9% from the prior quarter.
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Analysis
Dexcom (DXCM) EBITDA (2010 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, EBITDA at Dexcom was $1.5 billion, up 46.6% year-over-year; for FY2025, it was $1.16 billion, up 42.3% from FY2024.
- Annual EBITDA has increased for six consecutive years, with a five-year compound annual growth rate of 26.0% (FY2020 to FY2025).
- In prior years, Dexcom's EBITDA was $817.7 million in FY2024 (+4.3%), $783.7 million in FY2023 (+43.2%), $547.1 million in FY2022 (+48.7%) and $367.8 million in FY2021 (+0.3%).
- The Q3 2026 figure stands as the highest quarterly EBITDA in data going back to Q3 2010.
- On a year-over-year basis, EBITDA has increased in each of the last seven quarters, with growth averaging 36.5% over the last eight quarters.
- The strongest year-over-year quarter for EBITDA in the past five years was Q4 2022, with growth of 394.5%; the weakest was Q4 2021, with a decline of 73.7%.
- According to Business Quant data, EBITDA for the three prior quarters was $386.5 million (Q2 2026), $322.4 million (Q1 2026) and $388.2 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 265.71 Bn | 242.23 Bn | 5.13 Bn | 3.09 Bn |
| 2 | Abbott Laboratories | 189.37 Bn | 163.23 Bn | 7.39 Bn | 2.61 Bn |
| 3 | Danaher | 164.78 Bn | 144.43 Bn | 3.84 Bn | 1.97 Bn |
| 4 | Intuitive Surgical | 157.85 Bn | 138.13 Bn | 2.08 Bn | 789.70 Mn |
| 5 | Medtronic | 129.66 Bn | 94.91 Bn | 6.34 Bn | 2.49 Bn |
| 6 | Stryker | 121.82 Bn | 108.01 Bn | 4.25 Bn | 1.33 Bn |
| 7 | Boston Scientific | 63.42 Bn | 58.86 Bn | 3.43 Bn | 1.19 Bn |
| 8 | Edwards Lifesciences | 59.49 Bn | 42.69 Bn | 1.35 Bn | 344.00 Mn |
| 9 | Becton Dickinson | 58.38 Bn | 55.53 Bn | 2.32 Bn | 1.23 Bn |
| 10 | Dexcom | 29.96 Bn | 21.78 Bn | 864.40 Mn | 401.70 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 401.70 Mn |
| Jun 30, 2026 | 386.50 Mn |
| Mar 31, 2026 | 322.40 Mn |
| Dec 31, 2025 | 388.20 Mn |
| Sep 30, 2025 | 306.10 Mn |
| Jun 30, 2025 | 275.60 Mn |
| Mar 31, 2025 | 193.70 Mn |
| Dec 31, 2024 | 246.70 Mn |
| Sep 30, 2024 | 207.30 Mn |
| Jun 30, 2024 | 210.10 Mn |
| Mar 31, 2024 | 153.60 Mn |
| Dec 31, 2023 | 269.40 Mn |
| Sep 30, 2023 | 253.70 Mn |
| Jun 30, 2023 | 171.80 Mn |
| Mar 31, 2023 | 88.80 Mn |
| Dec 31, 2022 | 161.70 Mn |
| Sep 30, 2022 | 186.70 Mn |
| Jun 30, 2022 | 120.60 Mn |
| Mar 31, 2022 | 78.10 Mn |
| Dec 31, 2021 | 32.70 Mn |
API Access
Dexcom EBITDA 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=ebitda&ticker=DXCM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=DXCM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();