Dexcom (DXCM) Cash from Operations (2010 - 2026)
Dexcom (DXCM) reported Cash from Operations of $269.2 million for Q2 2026, down 11.2% from $303 million a year earlier and down 48.8% from the prior quarter.
Dexcom (DXCM) Cash from Operations (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Dexcom's Cash from Operations came in at $1.75 billion, up 77.0% year-over-year; for FY2025, it came in at $1.44 billion, up 45.6% from FY2024.
- Cash from Operations has increased for four consecutive years, with a five-year compound annual growth rate of 24.8% (FY2020 to FY2025).
- By year, Cash from Operations came in at $989.5 million in FY2024 (+32.2%), $748.5 million in FY2023 (+11.8%), $669.5 million in FY2022 (+51.3%) and $442.5 million in FY2021 (-7.0%).
- The Q2 2026 figure ranks as the lowest quarterly Cash from Operations since Q1 2025.
- Year over year, Cash from Operations gained in four of the last eight quarters, with growth averaging 62.4%.
- The high point for year-over-year Cash from Operations in five years was Q3 2025 (growth of 230.8%); the low point was Q4 2021 (a decline of 38.5%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $525.6 million (Q1 2026), $294 million (Q4 2025) and $659.9 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash from Ops. (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 2.13 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 2.49 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 1.53 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | 1.06 Bn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 1.79 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 1.26 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 1.47 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 651.90 Mn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 776.00 Mn |
| 10 | Dexcom | 32.57 Bn | 22.88 Bn | 830.00 Mn | 269.20 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 269.20 Mn |
| Mar 31, 2026 | 525.60 Mn |
| Dec 31, 2025 | 294.00 Mn |
| Sep 30, 2025 | 659.90 Mn |
| Jun 30, 2025 | 303.00 Mn |
| Mar 31, 2025 | 183.80 Mn |
| Dec 31, 2024 | 301.40 Mn |
| Sep 30, 2024 | 199.50 Mn |
| Jun 30, 2024 | 279.40 Mn |
| Mar 31, 2024 | 209.20 Mn |
| Dec 31, 2023 | 133.60 Mn |
| Sep 30, 2023 | 269.20 Mn |
| Jun 30, 2023 | 190.30 Mn |
| Mar 31, 2023 | 155.40 Mn |
| Dec 31, 2022 | 132.50 Mn |
| Sep 30, 2022 | 293.20 Mn |
| Jun 30, 2022 | 172.80 Mn |
| Mar 31, 2022 | 71.00 Mn |
| Dec 31, 2021 | 105.80 Mn |
| Sep 30, 2021 | 247.30 Mn |
Dexcom Cash from Operations 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=cash-from-operations&ticker=DXCM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-from-operations", "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=cash-from-operations&ticker=DXCM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();