Envista Holdings (NVST) Non-Current Debt (2019 - 2026)
Envista Holdings' Non-Current Debt came in at -$100,000 for Q1 2020.
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Analysis
Envista Holdings (NVST) Non-Current Debt (2019 - 2026) Analysis & Trends
For FY2019, Envista Holdings' Non-Current Debt was -$300,000.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 260.30 Bn | 239.33 Bn | 4.88 Bn | 39.18 Bn |
| 2 | Abbott Laboratories | 170.90 Bn | 141.33 Bn | 7.27 Bn | 29.60 Bn |
| 3 | Danaher | 164.81 Bn | 148.62 Bn | 3.61 Bn | 25.15 Bn |
| 4 | Intuitive Surgical | 152.46 Bn | 131.89 Bn | 1.96 Bn | - |
| 5 | Medtronic | 119.28 Bn | 84.53 Bn | 6.34 Bn | 25.62 Bn |
| 6 | Stryker | 112.91 Bn | 99.03 Bn | 4.50 Bn | 14.19 Bn |
| 7 | Boston Scientific | 64.87 Bn | 59.63 Bn | 3.85 Bn | 10.92 Bn |
| 8 | Becton Dickinson | 53.24 Bn | 50.39 Bn | 2.32 Bn | 13.51 Bn |
| 9 | Edwards Lifesciences | 50.42 Bn | 34.43 Bn | 1.35 Bn | 598.70 Mn |
| 10 | Envista Holdings | 3.72 Bn | -831.92 Mn | 407.00 Mn | 1.44 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 3, 2026 | 1.44 Bn |
| Apr 3, 2026 | 1.44 Bn |
| Dec 31, 2025 | 1.45 Bn |
| Sep 26, 2025 | 1.45 Bn |
| Jun 27, 2025 | 1.45 Bn |
| Mar 28, 2025 | 1.30 Bn |
| Dec 31, 2024 | 1.28 Bn |
| Sep 27, 2024 | 1.31 Bn |
| Jun 28, 2024 | 1.39 Bn |
| Mar 29, 2024 | 1.39 Bn |
| Dec 31, 2023 | 1.40 Bn |
| Sep 29, 2023 | 1.38 Bn |
| Jun 30, 2023 | 875.60 Mn |
| Mar 31, 2023 | 873.80 Mn |
| Dec 31, 2022 | 870.70 Mn |
| Sep 30, 2022 | 851.60 Mn |
| Jul 1, 2022 | 864.10 Mn |
| Apr 1, 2022 | 876.90 Mn |
| Dec 31, 2021 | 883.40 Mn |
| Oct 1, 2021 | 887.80 Mn |
API Access
Envista Holdings Non-Current Debt 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-current-debt&ticker=NVST&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-debt", "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-current-debt&ticker=NVST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();