Revvity (RVTY) Total Current Liabilities (2010 - 2026)
Revvity's Total Current Liabilities came in at $1.28 billion for Q2 2026, up 90.0% from $671.81 million a year earlier and up 3.0% from the prior quarter.
Revvity (RVTY) Total Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Revvity's Total Current Liabilities was $1.33 billion, up 103.8% from FY2024.
- Total Current Liabilities carries a four-year compound annual growth rate of -5.3% (FY2021 to FY2025).
- Going back by year, Total Current Liabilities was $653.1 million in FY2024 (-55.0%), $1.45 billion in FY2023 (-6.1%), $1.54 billion in FY2022 and $1.65 billion in FY2021.
- The five-year range for quarterly Total Current Liabilities is $648.19 million (Q1 2025) to $1.56 billion (Q1 2023).
- Year-over-year, Total Current Liabilities has increased for four consecutive quarters, with growth averaging 18.8% over the last eight quarters.
- The fastest year-over-year change in Total Current Liabilities over five years came in Q4 2025 (growth of 103.8%), and the weakest in Q4 2024 (a decline of 55.0%).
- Business Quant data shows RVTY's Total Current Liabilities at $1.24 billion (Q1 2026), $1.33 billion (Q4 2025) and $1.22 billion (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 | 255.08 Bn | 234.11 Bn | 4.88 Bn | 15.07 Bn |
| 2 | Abbott Laboratories | 177.63 Bn | 148.06 Bn | 7.27 Bn | 17.81 Bn |
| 3 | Danaher | 157.87 Bn | 141.68 Bn | 3.61 Bn | 8.11 Bn |
| 4 | Intuitive Surgical | 155.21 Bn | 134.63 Bn | 1.96 Bn | 1.92 Bn |
| 5 | Medtronic | 121.11 Bn | 86.36 Bn | 6.34 Bn | 11.80 Bn |
| 6 | Stryker | 116.85 Bn | 102.97 Bn | 4.50 Bn | 6.68 Bn |
| 7 | Boston Scientific | 66.97 Bn | 61.74 Bn | 3.85 Bn | 6.43 Bn |
| 8 | Becton Dickinson | 53.15 Bn | 50.30 Bn | 2.32 Bn | 9.40 Bn |
| 9 | Edwards Lifesciences | 50.82 Bn | 34.83 Bn | 1.35 Bn | 1.51 Bn |
| 10 | Revvity | 17.50 Bn | 13.77 Bn | 416.87 Mn | 1.28 Bn |
Historic Data
| Date | Value |
|---|---|
| Jul 5, 2026 | 1.28 Bn |
| Apr 5, 2026 | 1.24 Bn |
| Dec 28, 2025 | 1.33 Bn |
| Sep 28, 2025 | 1.22 Bn |
| Jun 29, 2025 | 671.81 Mn |
| Mar 30, 2025 | 648.19 Mn |
| Dec 29, 2024 | 653.10 Mn |
| Sep 29, 2024 | 687.94 Mn |
| Jun 30, 2024 | 1.39 Bn |
| Mar 31, 2024 | 1.37 Bn |
| Dec 31, 2023 | 1.45 Bn |
| Oct 1, 2023 | 1.45 Bn |
| Jul 2, 2023 | 1.37 Bn |
| Apr 2, 2023 | 1.56 Bn |
| Jan 1, 2023 | 1.54 Bn |
| Oct 2, 2022 | 1.49 Bn |
| Jul 3, 2022 | 1.04 Bn |
| Apr 3, 2022 | 1.26 Bn |
| Jan 2, 2022 | 1.21 Bn |
| Oct 3, 2021 | 1.15 Bn |
Revvity 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=RVTY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-current-liabilities&ticker=RVTY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();