Dexcom (DXCM) Non Operating Interest Expenses (2010 - 2023)
Dexcom's Non Operating Interest Expenses came in at $5.9 million for Q2 2023, up 25.5% from $4.7 million a year earlier and up 28.3% from the prior quarter.
Dexcom (DXCM) Non Operating Interest Expenses (2010 - 2023) Analysis & Trends
Over the trailing twelve months to Jun 30, 2023, Dexcom reported Non Operating Interest Expenses of $19.8 million, up 6.5% year-over-year; for FY2022, it came in at $18.6 million, down 1.1% from FY2021.
- Non Operating Interest Expenses carries a five-year compound annual growth rate of 7.8% (FY2017 to FY2022).
- Going back by year, Non Operating Interest Expenses was $18.8 million in FY2021 (+6.2%), $17.7 million in FY2020 (-70.6%), $60.3 million in FY2019 (+165.6%) and $22.7 million in FY2018 (+77.3%).
- The Q2 2023 figure represents the highest quarterly Non Operating Interest Expenses since Q3 2020.
- Year-over-year, Non Operating Interest Expenses increased in 1 of the last seven quarters, with an average decline of 8.5%.
- The fastest year-over-year change in Non Operating Interest Expenses over five years came in Q2 2019 (growth of 212.5%), and the weakest in Q3 2021 (a decline of 81.1%).
- Business Quant data shows DXCM's Non Operating Interest Expenses at $4.6 million (Q1 2023), $4.7 million (Q4 2022) and $4.6 million (Q3 2022) in the three quarters before Q2 2023.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 248.41 Bn | 227.44 Bn | 4.88 Bn | 401.00 Mn |
| 2 | Abbott Laboratories | 179.90 Bn | 150.33 Bn | 7.27 Bn | 351.00 Mn |
| 3 | Danaher | 160.20 Bn | 144.01 Bn | 3.61 Bn | 107.00 Mn |
| 4 | Intuitive Surgical | 159.60 Bn | 139.89 Bn | 2.08 Bn | - |
| 5 | Medtronic | 122.71 Bn | 87.96 Bn | 6.34 Bn | 186.00 Mn |
| 6 | Stryker | 118.19 Bn | 104.31 Bn | 4.50 Bn | 141.00 Mn |
| 7 | Boston Scientific | 67.00 Bn | 61.77 Bn | 3.85 Bn | 96.00 Mn |
| 8 | Becton Dickinson | 54.63 Bn | 51.78 Bn | 2.32 Bn | 132.00 Mn |
| 9 | Edwards Lifesciences | 51.72 Bn | 35.73 Bn | 1.35 Bn | - |
| 10 | Dexcom | 30.01 Bn | 20.33 Bn | 830.00 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2023 | 5.90 Mn |
| Mar 31, 2023 | 4.60 Mn |
| Dec 31, 2022 | 4.70 Mn |
| Sep 30, 2022 | 4.60 Mn |
| Jun 30, 2022 | 4.70 Mn |
| Mar 31, 2022 | 4.60 Mn |
| Dec 31, 2021 | 4.70 Mn |
| Sep 30, 2021 | 4.60 Mn |
| Jun 30, 2021 | 4.80 Mn |
| Mar 31, 2021 | 4.70 Mn |
| Dec 31, 2020 | -42.40 Mn |
| Sep 30, 2020 | 24.40 Mn |
| Jun 30, 2020 | 20.30 Mn |
| Mar 31, 2020 | 15.40 Mn |
| Dec 31, 2019 | 15.30 Mn |
| Sep 30, 2019 | 15.10 Mn |
| Jun 30, 2019 | 15.00 Mn |
| Mar 31, 2019 | 14.90 Mn |
| Dec 31, 2018 | 8.20 Mn |
| Sep 30, 2018 | 4.90 Mn |
Dexcom Non Operating Interest 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=non-operating-interest-expenses&ticker=DXCM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-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=non-operating-interest-expenses&ticker=DXCM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();