Revvity (RVTY) Tax Provisions (2009 - 2026)
Revvity's Tax Provisions came in at $10.05 million for Q2 2026, down 25.2% from $13.43 million a year earlier but up 10.5% from the prior quarter.
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Analysis
Revvity (RVTY) Tax Provisions (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jul 5, 2026, Revvity reported Tax Provisions of $23.4 million, down 37.2% year-over-year; for FY2025, it was $28.39 million, down 14.1% from FY2024.
- Tax Provisions carries a four-year compound annual growth rate of -36.0% (FY2021 to FY2025).
- Going back by year, Tax Provisions was $33.06 million in FY2024 (+851.8%), $3.47 million in FY2023 (-97.5%), $139.16 million in FY2022 and $169.51 million in FY2021.
- The five-year range for quarterly Tax Provisions is -$59.37 million (Q4 2022) to $18.13 million (Q3 2023).
- Year-over-year, Tax Provisions increased in two of the last six quarters, with an average decline of 0.3%.
- The fastest year-over-year change in Tax Provisions over five years came in Q1 2025 (growth of 83.0%), and the weakest in Q3 2024 (a decline of 61.6%).
- Business Quant data shows RVTY's Tax Provisions at $9.1 million (Q1 2026), -$4.21 million (Q4 2025) and $8.46 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.93 Bn | 230.96 Bn | 4.88 Bn | 167.00 Mn |
| 2 | Abbott Laboratories | 181.29 Bn | 151.72 Bn | 7.27 Bn | 596.00 Mn |
| 3 | Danaher | 158.18 Bn | 141.99 Bn | 3.61 Bn | 208.00 Mn |
| 4 | Intuitive Surgical | 153.47 Bn | 132.89 Bn | 1.96 Bn | 231.40 Mn |
| 5 | Medtronic | 118.97 Bn | 84.22 Bn | 6.34 Bn | 289.00 Mn |
| 6 | Stryker | 114.72 Bn | 100.84 Bn | 4.50 Bn | 288.00 Mn |
| 7 | Boston Scientific | 66.18 Bn | 60.95 Bn | 3.85 Bn | 155.00 Mn |
| 8 | Becton Dickinson | 52.49 Bn | 49.64 Bn | 2.32 Bn | 102.00 Mn |
| 9 | Edwards Lifesciences | 50.32 Bn | 34.33 Bn | 1.35 Bn | 278.40 Mn |
| 10 | Revvity | 16.87 Bn | 13.14 Bn | 416.87 Mn | 10.05 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 5, 2026 | 10.05 Mn |
| Apr 5, 2026 | 9.10 Mn |
| Dec 28, 2025 | -4.21 Mn |
| Sep 28, 2025 | 8.46 Mn |
| Jun 29, 2025 | 13.43 Mn |
| Mar 30, 2025 | 10.71 Mn |
| Dec 29, 2024 | 6.18 Mn |
| Sep 29, 2024 | 6.97 Mn |
| Jun 30, 2024 | 14.06 Mn |
| Mar 31, 2024 | 5.85 Mn |
| Dec 31, 2023 | -32.19 Mn |
| Oct 1, 2023 | 18.13 Mn |
| Jul 2, 2023 | 12.93 Mn |
| Apr 2, 2023 | 4.60 Mn |
| Jan 1, 2023 | -59.37 Mn |
| Oct 2, 2022 | 12.63 Mn |
| Jul 3, 2022 | 44.74 Mn |
| Apr 3, 2022 | 40.83 Mn |
| Oct 3, 2021 | 27.38 Mn |
| Jul 4, 2021 | 80.09 Mn |
API Access
Revvity Tax Provisions 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=tax-provisions&ticker=RVTY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=RVTY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();