Envista Holdings (NVST) Non Operating Interest Expenses (2019 - 2024)
Envista Holdings' Non Operating Interest Expenses came in at $11.7 million for Q2 2024, down 32.8% from $17.4 million a year earlier and down 9.3% from the prior quarter.
Envista Holdings (NVST) Non Operating Interest Expenses (2019 - 2024) Analysis & Trends
Over the trailing twelve months to Jun 28, 2024, Envista Holdings reported Non Operating Interest Expenses of $53.9 million, down 10.5% year-over-year; for FY2023, it was $63.4 million, up 65.1% from FY2022.
- Non Operating Interest Expenses carries a four-year compound annual growth rate of 106.3% (FY2019 to FY2023).
- Going back by year, Non Operating Interest Expenses was $38.4 million in FY2022 (-29.0%), $54.1 million in FY2021 (-13.4%), $62.5 million in FY2020 and $3.5 million in FY2019.
- The Q2 2024 figure represents the lowest quarterly Non Operating Interest Expenses since Q3 2022.
- Year-over-year, Non Operating Interest Expenses has declined for three consecutive quarters, with growth averaging 45.3% over the last eight quarters.
- The fastest year-over-year change in Non Operating Interest Expenses over five years came in Q4 2020 (growth of 545.5%), and the weakest in Q1 2022 (a decline of 67.2%).
- Business Quant data shows NVST's Non Operating Interest Expenses at $12.9 million (Q1 2024), $13.9 million (Q4 2023) and $15.4 million (Q3 2023) in the three quarters before Q2 2024.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 401.00 Mn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 351.00 Mn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 107.00 Mn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | - |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 186.00 Mn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 141.00 Mn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 96.00 Mn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | - |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 132.00 Mn |
| 10 | Envista Holdings | 3.77 Bn | -786.32 Mn | 407.00 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2024 | 11.70 Mn |
| Mar 29, 2024 | 12.90 Mn |
| Dec 31, 2023 | 13.90 Mn |
| Sep 29, 2023 | 15.40 Mn |
| Jun 30, 2023 | 17.40 Mn |
| Mar 31, 2023 | 16.70 Mn |
| Dec 31, 2022 | 14.50 Mn |
| Sep 30, 2022 | 11.60 Mn |
| Jul 1, 2022 | 6.40 Mn |
| Apr 1, 2022 | 5.90 Mn |
| Dec 31, 2021 | 10.50 Mn |
| Oct 1, 2021 | 12.00 Mn |
| Jul 2, 2021 | 13.60 Mn |
| Apr 2, 2021 | 18.00 Mn |
| Dec 31, 2020 | 21.30 Mn |
| Oct 2, 2020 | 23.40 Mn |
| Jul 3, 2020 | 14.50 Mn |
| Apr 3, 2020 | 3.30 Mn |
| Dec 31, 2019 | 3.30 Mn |
| Sep 27, 2019 | 200,000.00 |
Envista Holdings 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=NVST&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "ticker": "NVST", "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=NVST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();