Revvity (RVTY) Operating Expenses (2009 - 2026)
Revvity (RVTY) recorded Operating Expenses of $327.55 million in Q2 2026, up 8.5% from $301.8 million a year earlier and up 5.1% from the prior quarter.
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Analysis
Revvity (RVTY) Operating Expenses (2009 - 2026) Analysis & Trends
On a TTM basis, Revvity's Operating Expenses came in at $1.24 billion as of Jul 5, 2026, up 4.8% year-over-year; for FY2025, it came in at $1.21 billion, up 1.4% from FY2024.
- Annual Operating Expenses has a four-year compound annual growth rate of 8.5% (FY2021 to FY2025).
- Across earlier years, Operating Expenses came in at $1.19 billion in FY2024 (-3.9%), $1.24 billion in FY2023 (+0.5%), $1.23 billion in FY2022 and $870.57 million in FY2021.
- The Q2 2026 figure is the highest quarterly Operating Expenses since Q4 2022.
- On a year-over-year basis, Operating Expenses has increased for five consecutive quarters, with growth averaging 0.9% over the last eight quarters.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 8.5% in Q2 2026, against a decline of 24.3% in Q4 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $311.77 million (Q1 2026), $309.91 million (Q4 2025) and $292.71 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.93 Bn | 230.96 Bn | 4.88 Bn | 9.91 Bn |
| 2 | Abbott Laboratories | 181.29 Bn | 151.72 Bn | 7.27 Bn | 10.90 Bn |
| 3 | Danaher | 158.18 Bn | 141.99 Bn | 3.61 Bn | 2.48 Bn |
| 4 | Intuitive Surgical | 153.47 Bn | 132.89 Bn | 1.96 Bn | 988.50 Mn |
| 5 | Medtronic | 118.97 Bn | 84.22 Bn | 6.34 Bn | 4.06 Bn |
| 6 | Stryker | 114.72 Bn | 100.84 Bn | 4.50 Bn | 2.84 Bn |
| 7 | Boston Scientific | 66.18 Bn | 60.95 Bn | 3.85 Bn | 2.67 Bn |
| 8 | Becton Dickinson | 52.49 Bn | 49.64 Bn | 2.32 Bn | 4.32 Bn |
| 9 | Edwards Lifesciences | 50.32 Bn | 34.33 Bn | 1.35 Bn | 840.10 Mn |
| 10 | Revvity | 16.87 Bn | 13.14 Bn | 416.87 Mn | 327.55 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 5, 2026 | 327.55 Mn |
| Apr 5, 2026 | 311.77 Mn |
| Dec 28, 2025 | 309.91 Mn |
| Sep 28, 2025 | 292.71 Mn |
| Jun 29, 2025 | 301.80 Mn |
| Mar 30, 2025 | 303.32 Mn |
| Dec 29, 2024 | 293.54 Mn |
| Sep 29, 2024 | 286.67 Mn |
| Jun 30, 2024 | 299.78 Mn |
| Mar 31, 2024 | 310.93 Mn |
| Dec 31, 2023 | 306.32 Mn |
| Oct 1, 2023 | 303.29 Mn |
| Jul 2, 2023 | 324.28 Mn |
| Apr 2, 2023 | 305.25 Mn |
| Jan 1, 2023 | 404.59 Mn |
| Oct 2, 2022 | 299.46 Mn |
| Jul 3, 2022 | 328.61 Mn |
| Apr 3, 2022 | 339.02 Mn |
| Jan 2, 2022 | 10.66 Mn |
| Oct 3, 2021 | 326.08 Mn |
API Access
Revvity Operating Expenses 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=operating-expenses&ticker=RVTY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=RVTY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();