Dexcom (DXCM) Total Non-Current Liabilities (2010 - 2026)
Dexcom (DXCM) posted Total Non-Current Liabilities of $3.68 billion for Q2 2026, down 20.0% from $4.6 billion a year earlier but up 4.2% from the prior quarter.
Dexcom (DXCM) Total Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Dexcom's Total Non-Current Liabilities came in at $3.46 billion, down 18.4% from FY2024.
- Annual Total Non-Current Liabilities shows a five-year compound annual growth rate of 5.4% (FY2020 to FY2025).
- In prior years, Dexcom's Total Non-Current Liabilities was $4.23 billion in FY2024 (+4.0%), $4.07 billion in FY2023 (+30.0%), $3.13 billion in FY2022 (+11.8%) and $2.8 billion in FY2021 (+5.4%).
- Quarterly Total Non-Current Liabilities has run from a low of $2.77 billion in Q3 2021 to a high of $4.63 billion in Q3 2025 over five years.
- On a year-over-year basis, Total Non-Current Liabilities has declined in each of the last three quarters, with an average decline of 3.5% over the last eight quarters.
- The strongest year-over-year quarter for Total Non-Current Liabilities in the past five years was Q2 2023, with growth of 60.3%; the weakest was Q2 2026, with a decline of 20.0%.
- According to Business Quant data, Total Non-Current Liabilities for the three prior quarters was $3.53 billion (Q1 2026), $3.46 billion (Q4 2025) and $4.63 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 55.95 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | - |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 33.25 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | - |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 40.46 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 21.28 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 17.56 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 2.57 Bn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 23.92 Bn |
| 10 | Dexcom | 32.57 Bn | 22.88 Bn | 830.00 Mn | 3.68 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.68 Bn |
| Mar 31, 2026 | 3.53 Bn |
| Dec 31, 2025 | 3.46 Bn |
| Sep 30, 2025 | 4.63 Bn |
| Jun 30, 2025 | 4.60 Bn |
| Mar 31, 2025 | 4.33 Bn |
| Dec 31, 2024 | 4.23 Bn |
| Sep 30, 2024 | 4.25 Bn |
| Jun 30, 2024 | 4.24 Bn |
| Mar 31, 2024 | 4.11 Bn |
| Dec 31, 2023 | 4.07 Bn |
| Sep 30, 2023 | 4.19 Bn |
| Jun 30, 2023 | 4.59 Bn |
| Mar 31, 2023 | 3.15 Bn |
| Dec 31, 2022 | 3.13 Bn |
| Sep 30, 2022 | 2.95 Bn |
| Jun 30, 2022 | 2.86 Bn |
| Mar 31, 2022 | 2.77 Bn |
| Dec 31, 2021 | 2.80 Bn |
| Sep 30, 2021 | 2.77 Bn |
Dexcom Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=DXCM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=DXCM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();