Envista Holdings (NVST) Total Non-Current Liabilities (2018 - 2026)
Envista Holdings (NVST) posted Total Non-Current Liabilities of $2.37 billion for Q3 2026, down 0.8% from $2.38 billion a year earlier but up 0.4% from the prior quarter.
Envista Holdings (NVST) Total Non-Current Liabilities (2018 - 2026) Analysis & Trends
At the end of FY2025, Envista Holdings' Total Non-Current Liabilities came in at $2.41 billion, up 5.9% from FY2024.
- Annual Total Non-Current Liabilities shows a five-year compound annual growth rate of -3.0% (FY2020 to FY2025).
- In prior years, Envista Holdings' Total Non-Current Liabilities was $2.28 billion in FY2024 (-0.6%), $2.29 billion in FY2023 (+2.7%), $2.23 billion in FY2022 (+0.8%) and $2.21 billion in FY2021 (-21.2%).
- Quarterly Total Non-Current Liabilities has run from a low of $2.14 billion in Q2 2023 to a high of $2.41 billion in Q4 2025 over five years.
- On a year-over-year basis, Total Non-Current Liabilities increased in six of the last eight quarters, with growth averaging 1.6%.
- The strongest year-over-year quarter for Total Non-Current Liabilities in the past five years was Q2 2024, with growth of 8.0%; the weakest was Q4 2021, with a decline of 21.2%.
- According to Business Quant data, Total Non-Current Liabilities for the three prior quarters was $2.36 billion (Q2 2026), $2.34 billion (Q1 2026) and $2.41 billion (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 265.71 Bn | 242.23 Bn | 5.13 Bn | 54.88 Bn |
| 2 | Abbott Laboratories | 189.37 Bn | 163.23 Bn | 7.39 Bn | - |
| 3 | Danaher | 164.78 Bn | 144.43 Bn | 3.84 Bn | 33.44 Bn |
| 4 | Intuitive Surgical | 157.85 Bn | 138.13 Bn | 2.08 Bn | - |
| 5 | Medtronic | 129.66 Bn | 94.91 Bn | 6.34 Bn | 38.93 Bn |
| 6 | Stryker | 121.82 Bn | 108.01 Bn | 4.25 Bn | 20.68 Bn |
| 7 | Boston Scientific | 63.42 Bn | 58.86 Bn | 3.43 Bn | 17.15 Bn |
| 8 | Edwards Lifesciences | 59.49 Bn | 42.69 Bn | 1.35 Bn | 2.26 Bn |
| 9 | Becton Dickinson | 58.38 Bn | 55.53 Bn | 2.32 Bn | 23.92 Bn |
| 10 | Envista Holdings | 4.11 Bn | -472.07 Mn | 400.60 Mn | 2.37 Bn |
Historic Data
| Date | Value |
|---|---|
| Oct 2, 2026 | 2.37 Bn |
| Jul 3, 2026 | 2.36 Bn |
| Apr 3, 2026 | 2.34 Bn |
| Dec 31, 2025 | 2.41 Bn |
| Sep 26, 2025 | 2.38 Bn |
| Jun 27, 2025 | 2.35 Bn |
| Mar 28, 2025 | 2.28 Bn |
| Dec 31, 2024 | 2.28 Bn |
| Sep 27, 2024 | 2.29 Bn |
| Jun 28, 2024 | 2.31 Bn |
| Mar 29, 2024 | 2.28 Bn |
| Dec 31, 2023 | 2.29 Bn |
| Sep 29, 2023 | 2.24 Bn |
| Jun 30, 2023 | 2.14 Bn |
| Mar 31, 2023 | 2.14 Bn |
| Dec 31, 2022 | 2.23 Bn |
| Sep 30, 2022 | 2.23 Bn |
| Jul 1, 2022 | 2.24 Bn |
| Apr 1, 2022 | 2.25 Bn |
| Dec 31, 2021 | 2.21 Bn |
Envista Holdings 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=NVST&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=NVST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();