Dexcom (DXCM) Change in Accured Expenses (2010 - 2026)
Dexcom (DXCM) reported Change in Accured Expenses of $112.9 million for Q2 2026, down 51.8% from $234 million a year earlier and down 22.2% from the prior quarter.
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Analysis
Dexcom (DXCM) Change in Accured Expenses (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Dexcom's Change in Accured Expenses came in at $245.6 million, down 36.9% year-over-year; for FY2025, it was $347 million, up 63.9% from FY2024.
- Change in Accured Expenses has a five-year compound annual growth rate of 12.3% (FY2020 to FY2025).
- By year, Change in Accured Expenses came in at $211.7 million in FY2024 (-54.6%), $466.5 million in FY2023 (+58.1%), $295.1 million in FY2022 (+408.8%) and $58 million in FY2021 (-70.2%).
- Five-year quarterly Change in Accured Expenses spans a low of -$70.9 million in Q4 2021 and a high of $234 million in Q2 2025.
- Year over year, Change in Accured Expenses gained in three of the last five quarters, with growth averaging 24.9%.
- The high point for year-over-year Change in Accured Expenses in five years was Q2 2023 (growth of 347.8%); the low point was Q3 2024 (a decline of 77.3%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $145.1 million (Q1 2026), -$10.1 million (Q4 2025) and -$2.3 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn | - |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn | - |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn | -249.00 Mn |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn | 55.00 Mn |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn | -531.00 Mn |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn | 298.00 Mn |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn | 234.00 Mn |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn | 123.70 Mn |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn | - |
| 10 | Dexcom | 32.21 Bn | 22.53 Bn | 830.00 Mn | 112.90 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 112.90 Mn |
| Mar 31, 2026 | 145.10 Mn |
| Dec 31, 2025 | -10.10 Mn |
| Sep 30, 2025 | -2.30 Mn |
| Jun 30, 2025 | 234.00 Mn |
| Mar 31, 2025 | 125.40 Mn |
| Dec 31, 2024 | -20.00 Mn |
| Sep 30, 2024 | 49.80 Mn |
| Jun 30, 2024 | 72.30 Mn |
| Mar 31, 2024 | 109.60 Mn |
| Dec 31, 2023 | -30.00 Mn |
| Sep 30, 2023 | 219.50 Mn |
| Jun 30, 2023 | 190.30 Mn |
| Mar 31, 2023 | 86.70 Mn |
| Dec 31, 2022 | 123.80 Mn |
| Sep 30, 2022 | 75.30 Mn |
| Jun 30, 2022 | 42.50 Mn |
| Mar 31, 2022 | 53.50 Mn |
| Dec 31, 2021 | -70.90 Mn |
| Sep 30, 2021 | 145.10 Mn |
API Access
Dexcom Change in Accured Expenses 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=change-in-accured-expenses&ticker=DXCM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "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=change-in-accured-expenses&ticker=DXCM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();