Dexcom (DXCM) Cash & Equivalents (2009 - 2026)
Dexcom's Cash & Equivalents was $961.4 million in Q3 2026, down 47.6% from $1.84 billion a year earlier and down 13.0% from the prior quarter.
Analysis
Dexcom (DXCM) Cash & Equivalents (2009 - 2026) Analysis & Trends
At the end of FY2025, Cash & Equivalents at Dexcom came in at $917.7 million, up 51.4% from FY2024.
- Cash & Equivalents shows a five-year compound annual growth rate of 2.3% (FY2020 to FY2025).
- In earlier years, Cash & Equivalents was $606.1 million in FY2024 (+7.0%), $566.3 million in FY2023 (-11.8%), $642.3 million in FY2022 (-39.0%) and $1.05 billion in FY2021 (+28.7%).
- Quarterly Cash & Equivalents has moved between $566.3 million (Q4 2023) and $1.84 billion (Q3 2025) over five years.
- Compared with a year earlier, Cash & Equivalents was higher in six of the last eight quarters, with growth averaging 31.9%.
- The best year-over-year quarter for Cash & Equivalents over five years was Q3 2025 (growth of 195.5%); the worst was Q3 2022 (a decline of 51.7%).
- Per Business Quant data, DXCM's Cash & Equivalents in the three quarters before Q3 2026 was $1.11 billion (Q2 2026), $1.12 billion (Q1 2026) and $917.7 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 266.22 Bn | 242.86 Bn | 5.13 Bn | 5.46 Bn |
| 2 | Abbott Laboratories | 191.31 Bn | 165.77 Bn | 7.39 Bn | 4.05 Bn |
| 3 | Danaher | 166.16 Bn | 145.82 Bn | 3.84 Bn | 5.68 Bn |
| 4 | Intuitive Surgical | 155.98 Bn | 136.40 Bn | 2.08 Bn | 2.98 Bn |
| 5 | Medtronic | 130.05 Bn | 96.18 Bn | 6.34 Bn | 1.69 Bn |
| 6 | Stryker | 123.40 Bn | 109.59 Bn | 4.25 Bn | 3.27 Bn |
| 7 | Boston Scientific | 64.81 Bn | 60.48 Bn | 3.43 Bn | 609.00 Mn |
| 8 | Edwards Lifesciences | 59.87 Bn | 43.18 Bn | 1.35 Bn | 3.11 Bn |
| 9 | Medline | 53.84 Bn | 50.96 Bn | 1.93 Bn | 2.32 Bn |
| 10 | Dexcom | 29.81 Bn | 21.63 Bn | 864.40 Mn | 961.40 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 961.40 Mn |
| Jun 30, 2026 | 1.11 Bn |
| Mar 31, 2026 | 1.12 Bn |
| Dec 31, 2025 | 917.70 Mn |
| Sep 30, 2025 | 1.84 Bn |
| Jun 30, 2025 | 1.16 Bn |
| Mar 31, 2025 | 904.90 Mn |
| Dec 31, 2024 | 606.10 Mn |
| Sep 30, 2024 | 621.20 Mn |
| Jun 30, 2024 | 939.20 Mn |
| Mar 31, 2024 | 851.20 Mn |
| Dec 31, 2023 | 566.30 Mn |
| Sep 30, 2023 | 643.70 Mn |
| Jun 30, 2023 | 1.19 Bn |
| Mar 31, 2023 | 623.20 Mn |
| Dec 31, 2022 | 642.30 Mn |
| Sep 30, 2022 | 698.10 Mn |
| Jun 30, 2022 | 735.40 Mn |
| Mar 31, 2022 | 716.00 Mn |
| Dec 31, 2021 | 1.05 Bn |
API Access
Dexcom Cash & Equivalents 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-and-equivalents&ticker=DXCM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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-and-equivalents&ticker=DXCM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();