Dexcom (DXCM) Cost of Revenue (2009 - 2026)
Dexcom's Cost of Revenue was $480.1 million in Q3 2026, up 0.5% from $477.9 million a year earlier and up 0.4% from the prior quarter.
Dexcom (DXCM) Cost of Revenue (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Dexcom's Cost of Revenue was $1.87 billion through Sep 30, 2026, up 0.9% year-over-year; for FY2025, it was $1.86 billion, up 16.6% from FY2024.
- Cost of Revenue has now increased for 16 consecutive years, with a five-year compound annual growth rate of 23.5% (FY2020 to FY2025).
- In earlier years, Cost of Revenue was $1.59 billion in FY2024 (+19.6%), $1.33 billion in FY2023 (+29.9%), $1.03 billion in FY2022 (+33.7%) and $768 million in FY2021 (+18.8%).
- The Q3 2026 figure marks the highest quarterly Cost of Revenue in data going back to Q2 2010.
- Compared with a year earlier, Cost of Revenue was higher in seven of the last eight quarters, with growth averaging 11.5%.
- The best year-over-year quarter for Cost of Revenue over five years was Q1 2022 (growth of 43.2%); the worst was Q1 2026 (a decline of 1.2%).
- Per Business Quant data, DXCM's Cost of Revenue in the three quarters before Q3 2026 was $478.4 million (Q2 2026), $441.6 million (Q1 2026) and $466.9 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 266.22 Bn | 242.86 Bn | 5.13 Bn | 7.01 Bn |
| 2 | Abbott Laboratories | 191.31 Bn | 165.77 Bn | 7.39 Bn | 5.63 Bn |
| 3 | Danaher | 166.16 Bn | 145.82 Bn | 3.84 Bn | 2.72 Bn |
| 4 | Intuitive Surgical | 155.98 Bn | 136.40 Bn | 2.08 Bn | 964.40 Mn |
| 5 | Medtronic | 130.05 Bn | 96.18 Bn | 6.34 Bn | 3.42 Bn |
| 6 | Stryker | 123.40 Bn | 109.59 Bn | 4.25 Bn | 2.27 Bn |
| 7 | Boston Scientific | 64.81 Bn | 60.48 Bn | 3.43 Bn | 1.71 Bn |
| 8 | Edwards Lifesciences | 59.87 Bn | 43.18 Bn | 1.35 Bn | 369.20 Mn |
| 9 | Medline | 53.84 Bn | 50.96 Bn | 1.93 Bn | 5.93 Bn |
| 10 | Dexcom | 29.81 Bn | 21.63 Bn | 864.40 Mn | 480.10 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 480.10 Mn |
| Jun 30, 2026 | 478.40 Mn |
| Mar 31, 2026 | 441.60 Mn |
| Dec 31, 2025 | 466.90 Mn |
| Sep 30, 2025 | 477.90 Mn |
| Jun 30, 2025 | 468.30 Mn |
| Mar 31, 2025 | 447.00 Mn |
| Dec 31, 2024 | 457.70 Mn |
| Sep 30, 2024 | 400.40 Mn |
| Jun 30, 2024 | 377.60 Mn |
| Mar 31, 2024 | 359.10 Mn |
| Dec 31, 2023 | 377.90 Mn |
| Sep 30, 2023 | 351.70 Mn |
| Jun 30, 2023 | 324.90 Mn |
| Mar 31, 2023 | 278.90 Mn |
| Dec 31, 2022 | 273.90 Mn |
| Sep 30, 2022 | 275.40 Mn |
| Jun 30, 2022 | 246.70 Mn |
| Mar 31, 2022 | 230.70 Mn |
| Dec 31, 2021 | 225.60 Mn |
Dexcom Cost of Revenue 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=cost-of-revenue&ticker=DXCM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=DXCM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();