Revvity (RVTY) Accumulated Expenses (2010 - 2026)
Revvity (RVTY) reported Accumulated Expenses of $538.46 million for Q2 2026, up 9.1% from $493.43 million a year earlier and up 9.2% from the prior quarter.
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Analysis
Revvity (RVTY) Accumulated Expenses (2010 - 2026) Analysis & Trends
At the end of FY2025, Revvity posted Accumulated Expenses of $556.95 million, up 14.7% from FY2024.
- Accumulated Expenses has a four-year compound annual growth rate of -12.4% (FY2021 to FY2025).
- By year, Accumulated Expenses came in at $485.4 million in FY2024 (-7.5%), $524.47 million in FY2023 (-0.6%), $527.86 million in FY2022 and $943.92 million in FY2021.
- Five-year quarterly Accumulated Expenses spans a low of $463.1 million in Q3 2025 and a high of $817.43 million in Q1 2023.
- Year over year, Accumulated Expenses has now increased in each of the last three quarters, with growth averaging 0.5% over the last eight quarters.
- The high point for year-over-year Accumulated Expenses in five years was Q4 2025 (growth of 14.7%); the low point was Q1 2024 (a decline of 41.4%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $493.13 million (Q1 2026), $556.95 million (Q4 2025) and $463.1 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.71 Bn | 229.74 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 178.38 Bn | 148.81 Bn | 7.27 Bn |
| 3 | Danaher | 161.61 Bn | 145.42 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 154.15 Bn | 134.44 Bn | 2.08 Bn |
| 5 | Medtronic | 123.21 Bn | 88.46 Bn | 6.34 Bn |
| 6 | Stryker | 117.50 Bn | 103.61 Bn | 4.50 Bn |
| 7 | Boston Scientific | 67.50 Bn | 62.26 Bn | 3.85 Bn |
| 8 | Becton Dickinson | 54.80 Bn | 51.95 Bn | 2.32 Bn |
| 9 | Edwards Lifesciences | 51.78 Bn | 35.79 Bn | 1.35 Bn |
| 10 | Revvity | 17.49 Bn | 13.75 Bn | 416.87 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 5, 2026 | 538.46 Mn |
| Apr 5, 2026 | 493.13 Mn |
| Dec 28, 2025 | 556.95 Mn |
| Sep 28, 2025 | 463.10 Mn |
| Jun 29, 2025 | 493.43 Mn |
| Mar 30, 2025 | 469.86 Mn |
| Dec 29, 2024 | 485.40 Mn |
| Sep 29, 2024 | 510.49 Mn |
| Jun 30, 2024 | 503.73 Mn |
| Mar 31, 2024 | 479.25 Mn |
| Dec 31, 2023 | 524.47 Mn |
| Oct 1, 2023 | 532.00 Mn |
| Jul 2, 2023 | 652.17 Mn |
| Apr 2, 2023 | 817.43 Mn |
| Jan 1, 2023 | 527.86 Mn |
| Oct 2, 2022 | 471.57 Mn |
| Jul 3, 2022 | 705.92 Mn |
| Apr 3, 2022 | 882.63 Mn |
| Jan 2, 2022 | 679.10 Mn |
| Oct 3, 2021 | 820.11 Mn |
API Access
Revvity Accumulated 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=accumulated-expenses&ticker=RVTY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=RVTY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();