Revvity (RVTY) Total Non-Current Liabilities (2010 - 2026)
Revvity's Total Non-Current Liabilities came in at $4.05 billion for Q2 2026, unchanged from $4.05 billion a year earlier and up 0.8% from the prior quarter.
Revvity (RVTY) Total Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Revvity's Total Non-Current Liabilities was $4.11 billion, up 3.9% from FY2024.
- Total Non-Current Liabilities carries a four-year compound annual growth rate of 4.5% (FY2021 to FY2025).
- Going back by year, Total Non-Current Liabilities was $3.96 billion in FY2024 (-16.9%), $4.76 billion in FY2023 (-15.6%), $5.64 billion in FY2022 and $3.45 billion in FY2021.
- The five-year range for quarterly Total Non-Current Liabilities is $3.96 billion (Q4 2024) to $5.64 billion (Q4 2022).
- Year-over-year, Total Non-Current Liabilities increased in three of the last eight quarters, with an average decline of 7.0%.
- The fastest year-over-year change in Total Non-Current Liabilities over five years came in Q4 2025 (growth of 3.9%), and the weakest in Q4 2024 (a decline of 16.9%).
- Business Quant data shows RVTY's Total Non-Current Liabilities at $4.01 billion (Q1 2026), $4.11 billion (Q4 2025) and $4.01 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 254.87 Bn | 233.89 Bn | 4.88 Bn | 55.95 Bn |
| 2 | Abbott Laboratories | 178.85 Bn | 149.28 Bn | 7.27 Bn | - |
| 3 | Danaher | 158.49 Bn | 142.30 Bn | 3.61 Bn | 33.25 Bn |
| 4 | Intuitive Surgical | 154.99 Bn | 134.41 Bn | 1.96 Bn | - |
| 5 | Medtronic | 121.02 Bn | 86.28 Bn | 6.34 Bn | 38.93 Bn |
| 6 | Stryker | 116.94 Bn | 103.05 Bn | 4.50 Bn | 20.88 Bn |
| 7 | Boston Scientific | 66.98 Bn | 61.75 Bn | 3.85 Bn | 17.56 Bn |
| 8 | Becton Dickinson | 53.23 Bn | 50.38 Bn | 2.32 Bn | 23.92 Bn |
| 9 | Edwards Lifesciences | 50.83 Bn | 34.83 Bn | 1.35 Bn | 2.19 Bn |
| 10 | Revvity | 17.46 Bn | 13.73 Bn | 416.87 Mn | 4.05 Bn |
Historic Data
| Date | Value |
|---|---|
| Jul 5, 2026 | 4.05 Bn |
| Apr 5, 2026 | 4.01 Bn |
| Dec 28, 2025 | 4.11 Bn |
| Sep 28, 2025 | 4.01 Bn |
| Jun 29, 2025 | 4.05 Bn |
| Mar 30, 2025 | 3.97 Bn |
| Dec 29, 2024 | 3.96 Bn |
| Sep 29, 2024 | 4.00 Bn |
| Jun 30, 2024 | 4.68 Bn |
| Mar 31, 2024 | 4.67 Bn |
| Dec 31, 2023 | 4.76 Bn |
| Oct 1, 2023 | 4.73 Bn |
| Jul 2, 2023 | 5.39 Bn |
| Apr 2, 2023 | 5.59 Bn |
| Jan 1, 2023 | 5.64 Bn |
| Oct 2, 2022 | 5.53 Bn |
| Jul 3, 2022 | 5.71 Bn |
| Apr 3, 2022 | 6.31 Bn |
| Jan 2, 2022 | 6.43 Bn |
| Oct 3, 2021 | 6.43 Bn |
Revvity 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=RVTY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "RVTY", "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=RVTY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();