Revvity (RVTY) Property, Plant & Equipment (Net) (2010 - 2026)
Revvity's Property, Plant & Equipment (Net) was $456.25 million in Q2 2026, down 8.6% from $499.03 million a year earlier and down 2.0% from the prior quarter.
Revvity (RVTY) Property, Plant & Equipment (Net) (2010 - 2026) Analysis & Trends
At the end of FY2025, Property, Plant & Equipment (Net) at Revvity came in at $479.25 million, down 0.6% from FY2024.
- Property, Plant & Equipment (Net) shows a four-year compound annual growth rate of 6.8% (FY2021 to FY2025).
- In earlier years, Property, Plant & Equipment (Net) was $482.22 million in FY2024 (-5.4%), $509.65 million in FY2023 (+5.5%), $482.95 million in FY2022 and $368.3 million in FY2021.
- The Q2 2026 figure marks the lowest quarterly Property, Plant & Equipment (Net) since Q4 2019.
- Compared with a year earlier, Property, Plant & Equipment (Net) has declined for seven straight quarters, with an average decline of 2.7% over the last eight quarters.
- The best year-over-year quarter for Property, Plant & Equipment (Net) over five years was Q3 2024 (growth of 5.8%); the worst was Q2 2026 (a decline of 8.6%).
- Per Business Quant data, RVTY's Property, Plant & Equipment (Net) in the three quarters before Q2 2026 was $465.64 million (Q1 2026), $479.25 million (Q4 2025) and $497.09 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.93 Bn | 230.96 Bn | 4.88 Bn | 10.76 Bn |
| 2 | Abbott Laboratories | 181.29 Bn | 151.72 Bn | 7.27 Bn | 12.81 Bn |
| 3 | Danaher | 158.18 Bn | 141.99 Bn | 3.61 Bn | 5.83 Bn |
| 4 | Intuitive Surgical | 153.47 Bn | 132.89 Bn | 1.96 Bn | 5.55 Bn |
| 5 | Medtronic | 118.97 Bn | 84.22 Bn | 6.34 Bn | 7.47 Bn |
| 6 | Stryker | 114.72 Bn | 100.84 Bn | 4.50 Bn | 3.96 Bn |
| 7 | Boston Scientific | 66.18 Bn | 60.95 Bn | 3.85 Bn | 4.13 Bn |
| 8 | Becton Dickinson | 52.49 Bn | 49.64 Bn | 2.32 Bn | 6.08 Bn |
| 9 | Edwards Lifesciences | 50.32 Bn | 34.33 Bn | 1.35 Bn | 1.84 Bn |
| 10 | Revvity | 16.87 Bn | 13.14 Bn | 416.87 Mn | 456.25 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 5, 2026 | 456.25 Mn |
| Apr 5, 2026 | 465.64 Mn |
| Dec 28, 2025 | 479.25 Mn |
| Sep 28, 2025 | 497.09 Mn |
| Jun 29, 2025 | 499.03 Mn |
| Mar 30, 2025 | 486.71 Mn |
| Dec 29, 2024 | 482.22 Mn |
| Sep 29, 2024 | 517.93 Mn |
| Jun 30, 2024 | 503.12 Mn |
| Mar 31, 2024 | 503.96 Mn |
| Dec 31, 2023 | 509.65 Mn |
| Oct 1, 2023 | 489.75 Mn |
| Jul 2, 2023 | 490.92 Mn |
| Apr 2, 2023 | 491.16 Mn |
| Jan 1, 2023 | 482.95 Mn |
| Oct 2, 2022 | 460.40 Mn |
| Jul 3, 2022 | 533.65 Mn |
| Apr 3, 2022 | 547.04 Mn |
| Jan 2, 2022 | 485.53 Mn |
| Oct 3, 2021 | 537.71 Mn |
Revvity Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=RVTY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=RVTY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();