Dexcom (DXCM) Depreciation & Amortization (CF) (2010 - 2026)
Dexcom (DXCM) recorded Depreciation & Amortization (CF) of $68.2 million in Q2 2026, up 8.3% from $63 million a year earlier and up 1.6% from the prior quarter.
Dexcom (DXCM) Depreciation & Amortization (CF) (2010 - 2026) Analysis & Trends
On a TTM basis, Dexcom's Depreciation & Amortization (CF) came in at $264.1 million as of Jun 30, 2026, up 11.9% year-over-year; for FY2025, it was $251.8 million, up 15.7% from FY2024.
- Annual Depreciation & Amortization (CF) has increased for 16 straight years, with a five-year compound annual growth rate of 30.3% (FY2020 to FY2025).
- Across earlier years, Depreciation & Amortization (CF) came in at $217.7 million in FY2024 (+17.0%), $186 million in FY2023 (+19.3%), $155.9 million in FY2022 (+52.8%) and $102 million in FY2021 (+52.0%).
- The Q2 2026 figure is the highest quarterly Depreciation & Amortization (CF) in data going back to Q3 2010.
- On a year-over-year basis, Depreciation & Amortization (CF) has increased for 36 consecutive quarters, with growth averaging 13.5% over the last eight quarters.
- Over the past five years, the year-over-year growth in Depreciation & Amortization (CF) ranged from 0.2% (Q2 2023) to 85.5% (Q2 2022).
- Per Business Quant, the preceding three quarters came in at $67.1 million (Q1 2026), $65.2 million (Q4 2025) and $63.6 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 331.00 Mn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 402.00 Mn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 196.00 Mn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | 192.30 Mn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 729.00 Mn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 121.00 Mn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 355.00 Mn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 42.70 Mn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 564.00 Mn |
| 10 | Dexcom | 32.57 Bn | 22.88 Bn | 830.00 Mn | 68.20 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 68.20 Mn |
| Mar 31, 2026 | 67.10 Mn |
| Dec 31, 2025 | 65.20 Mn |
| Sep 30, 2025 | 63.60 Mn |
| Jun 30, 2025 | 63.00 Mn |
| Mar 31, 2025 | 60.00 Mn |
| Dec 31, 2024 | 57.80 Mn |
| Sep 30, 2024 | 55.30 Mn |
| Jun 30, 2024 | 52.10 Mn |
| Mar 31, 2024 | 52.50 Mn |
| Dec 31, 2023 | 52.50 Mn |
| Sep 30, 2023 | 48.20 Mn |
| Jun 30, 2023 | 43.70 Mn |
| Mar 31, 2023 | 41.60 Mn |
| Dec 31, 2022 | 36.30 Mn |
| Sep 30, 2022 | 39.20 Mn |
| Jun 30, 2022 | 43.60 Mn |
| Mar 31, 2022 | 36.80 Mn |
| Dec 31, 2021 | 32.10 Mn |
| Sep 30, 2021 | 25.50 Mn |
Dexcom Depreciation & Amortization (CF) 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=depreciation-and-amortization-cf&ticker=DXCM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-cf", "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=depreciation-and-amortization-cf&ticker=DXCM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();