Revvity (RVTY) Depreciation & Amortization (CF) (2009 - 2026)
Revvity's Depreciation & Amortization (CF) came in at $102.04 million for Q2 2026, down 0.7% from $102.78 million a year earlier and down 2.9% from the prior quarter.
Revvity (RVTY) Depreciation & Amortization (CF) (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jul 5, 2026, Revvity reported Depreciation & Amortization (CF) of $412.24 million, down 0.2% year-over-year; for FY2025, it was $405.34 million, down 5.3% from FY2024.
- Depreciation & Amortization (CF) carries a four-year compound annual growth rate of 19.1% (FY2021 to FY2025).
- Going back by year, Depreciation & Amortization (CF) was $427.85 million in FY2024 (-0.9%), $431.77 million in FY2023 (+1.1%), $427 million in FY2022 and $201.65 million in FY2021.
- The Q2 2026 figure represents the lowest quarterly Depreciation & Amortization (CF) since Q1 2025.
- Year-over-year, Depreciation & Amortization (CF) increased in 1 of the last eight quarters, with an average decline of 1.9%.
- The fastest year-over-year change in Depreciation & Amortization (CF) over five years came in Q1 2026 (growth of 7.8%), and the weakest in Q4 2023 (a decline of 54.0%).
- Business Quant data shows RVTY's Depreciation & Amortization (CF) at $105.06 million (Q1 2026), $103.08 million (Q4 2025) and $102.06 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 253.39 Bn | 232.41 Bn | 4.88 Bn | 331.00 Mn |
| 2 | Abbott Laboratories | 182.67 Bn | 153.10 Bn | 7.27 Bn | 402.00 Mn |
| 3 | Danaher | 159.56 Bn | 143.36 Bn | 3.61 Bn | 196.00 Mn |
| 4 | Intuitive Surgical | 153.28 Bn | 132.70 Bn | 1.96 Bn | 192.30 Mn |
| 5 | Medtronic | 119.94 Bn | 85.19 Bn | 6.34 Bn | 729.00 Mn |
| 6 | Stryker | 115.23 Bn | 101.35 Bn | 4.50 Bn | 121.00 Mn |
| 7 | Boston Scientific | 67.13 Bn | 61.90 Bn | 3.85 Bn | 355.00 Mn |
| 8 | Becton Dickinson | 52.84 Bn | 49.99 Bn | 2.32 Bn | 564.00 Mn |
| 9 | Edwards Lifesciences | 50.28 Bn | 34.29 Bn | 1.35 Bn | 42.70 Mn |
| 10 | Revvity | 17.20 Bn | 13.47 Bn | 416.87 Mn | 102.04 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 5, 2026 | 102.04 Mn |
| Apr 5, 2026 | 105.06 Mn |
| Dec 28, 2025 | 103.08 Mn |
| Sep 28, 2025 | 102.06 Mn |
| Jun 29, 2025 | 102.78 Mn |
| Mar 30, 2025 | 97.42 Mn |
| Dec 29, 2024 | 105.03 Mn |
| Sep 29, 2024 | 107.67 Mn |
| Jun 30, 2024 | 107.34 Mn |
| Mar 31, 2024 | 107.80 Mn |
| Dec 31, 2023 | 105.57 Mn |
| Oct 1, 2023 | 108.26 Mn |
| Jul 2, 2023 | 108.93 Mn |
| Apr 2, 2023 | 109.01 Mn |
| Jan 1, 2023 | 229.61 Mn |
| Apr 3, 2022 | 109.33 Mn |
| Oct 3, 2021 | 51.56 Mn |
| Jul 4, 2021 | 75.64 Mn |
| Apr 4, 2021 | 70.19 Mn |
| Jan 3, 2021 | 19.13 Mn |
Revvity Depreciation & Amortization (CF) 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=depreciation-and-amortization-cf&ticker=RVTY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-cf", "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=depreciation-and-amortization-cf&ticker=RVTY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();