Envista Holdings (NVST) Total Current Liabilities (2018 - 2026)
Envista Holdings' Total Current Liabilities came in at $807.3 million for Q2 2026, up 1.7% from $793.9 million a year earlier and up 2.6% from the prior quarter.
Envista Holdings (NVST) Total Current Liabilities (2018 - 2026) Analysis & Trends
At the end of FY2025, Envista Holdings' Total Current Liabilities was $852.6 million, down 3.0% from FY2024.
- Total Current Liabilities carries a five-year compound annual growth rate of -12.7% (FY2020 to FY2025).
- Going back by year, Total Current Liabilities was $878.7 million in FY2024 (+12.5%), $780.8 million in FY2023 (-36.9%), $1.24 billion in FY2022 (+2.4%) and $1.21 billion in FY2021 (-28.3%).
- The five-year range for quarterly Total Current Liabilities is $746.8 million (Q3 2023) to $1.27 billion (Q3 2021).
- Year-over-year, Total Current Liabilities increased in four of the last eight quarters, with growth averaging 2.6%.
- The fastest year-over-year change in Total Current Liabilities over five years came in Q3 2021 (growth of 86.9%), and the weakest in Q3 2023 (a decline of 40.7%).
- Business Quant data shows NVST's Total Current Liabilities at $786.6 million (Q1 2026), $852.6 million (Q4 2025) and $821.7 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 257.99 Bn | 237.02 Bn | 4.88 Bn | 15.07 Bn |
| 2 | Abbott Laboratories | 175.01 Bn | 145.44 Bn | 7.27 Bn | 17.81 Bn |
| 3 | Danaher | 164.93 Bn | 148.74 Bn | 3.61 Bn | 8.11 Bn |
| 4 | Intuitive Surgical | 151.84 Bn | 131.26 Bn | 1.96 Bn | 1.92 Bn |
| 5 | Medtronic | 119.05 Bn | 84.30 Bn | 6.34 Bn | 11.80 Bn |
| 6 | Stryker | 113.89 Bn | 100.00 Bn | 4.50 Bn | 6.68 Bn |
| 7 | Boston Scientific | 65.37 Bn | 60.13 Bn | 3.85 Bn | 6.43 Bn |
| 8 | Becton Dickinson | 53.36 Bn | 50.51 Bn | 2.32 Bn | 9.40 Bn |
| 9 | Edwards Lifesciences | 50.83 Bn | 34.83 Bn | 1.35 Bn | 1.51 Bn |
| 10 | Envista Holdings | 3.74 Bn | -815.57 Mn | 407.00 Mn | 807.30 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 3, 2026 | 807.30 Mn |
| Apr 3, 2026 | 786.60 Mn |
| Dec 31, 2025 | 852.60 Mn |
| Sep 26, 2025 | 821.70 Mn |
| Jun 27, 2025 | 793.90 Mn |
| Mar 28, 2025 | 873.30 Mn |
| Dec 31, 2024 | 878.70 Mn |
| Sep 27, 2024 | 865.50 Mn |
| Jun 28, 2024 | 821.40 Mn |
| Mar 29, 2024 | 781.30 Mn |
| Dec 31, 2023 | 780.80 Mn |
| Sep 29, 2023 | 746.80 Mn |
| Jun 30, 2023 | 1.15 Bn |
| Mar 31, 2023 | 1.15 Bn |
| Dec 31, 2022 | 1.24 Bn |
| Sep 30, 2022 | 1.26 Bn |
| Jul 1, 2022 | 1.26 Bn |
| Apr 1, 2022 | 1.26 Bn |
| Dec 31, 2021 | 1.21 Bn |
| Oct 1, 2021 | 1.27 Bn |
Envista Holdings Total 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-current-liabilities&ticker=NVST&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-current-liabilities&ticker=NVST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();