Revvity (RVTY) Non Operating Interest Expenses (2009 - 2026)
Revvity (RVTY) reported Non Operating Interest Expenses of $25.79 million for Q2 2026, up 16.6% from $22.11 million a year earlier but down 0.4% from the prior quarter.
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Analysis
Revvity (RVTY) Non Operating Interest Expenses (2009 - 2026) Analysis & Trends
Over the twelve months ended Jul 5, 2026, Revvity's Non Operating Interest Expenses came in at $98.08 million, up 53.4% year-over-year; for FY2025, it came in at $88.36 million, up 188.6% from FY2024.
- Non Operating Interest Expenses has a four-year compound annual growth rate of 7.1% (FY2021 to FY2025).
- By year, Non Operating Interest Expenses came in at $30.62 million in FY2024 (-74.0%), $117.59 million in FY2023 (+29.4%), $90.86 million in FY2022 and $67.2 million in FY2021.
- Five-year quarterly Non Operating Interest Expenses spans a low of -$2.21 million in Q3 2024 and a high of $46.68 million in Q1 2023.
- Year over year, Non Operating Interest Expenses gained in three of the last five quarters, with growth averaging 18.2%.
- Per Business Quant data, the three quarters before Q2 2026 came in at $25.89 million (Q1 2026), $20.19 million (Q4 2025) and $26.21 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.93 Bn | 230.96 Bn | 4.88 Bn | 401.00 Mn |
| 2 | Abbott Laboratories | 181.29 Bn | 151.72 Bn | 7.27 Bn | 351.00 Mn |
| 3 | Danaher | 158.18 Bn | 141.99 Bn | 3.61 Bn | 107.00 Mn |
| 4 | Intuitive Surgical | 153.47 Bn | 132.89 Bn | 1.96 Bn | - |
| 5 | Medtronic | 118.97 Bn | 84.22 Bn | 6.34 Bn | 186.00 Mn |
| 6 | Stryker | 114.72 Bn | 100.84 Bn | 4.50 Bn | 141.00 Mn |
| 7 | Boston Scientific | 66.18 Bn | 60.95 Bn | 3.85 Bn | 96.00 Mn |
| 8 | Becton Dickinson | 52.49 Bn | 49.64 Bn | 2.32 Bn | 132.00 Mn |
| 9 | Edwards Lifesciences | 50.32 Bn | 34.33 Bn | 1.35 Bn | - |
| 10 | Revvity | 16.87 Bn | 13.14 Bn | 416.87 Mn | 25.79 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 5, 2026 | 25.79 Mn |
| Apr 5, 2026 | 25.89 Mn |
| Dec 28, 2025 | 20.19 Mn |
| Sep 28, 2025 | 26.21 Mn |
| Jun 29, 2025 | 22.11 Mn |
| Mar 30, 2025 | 19.85 Mn |
| Dec 29, 2024 | 24.19 Mn |
| Sep 29, 2024 | -2.21 Mn |
| Jun 30, 2024 | -938,000.00 |
| Mar 31, 2024 | 9.57 Mn |
| Dec 31, 2023 | 45.78 Mn |
| Oct 1, 2023 | 18.63 Mn |
| Jul 2, 2023 | 6.50 Mn |
| Apr 2, 2023 | 46.68 Mn |
| Jan 1, 2023 | 36.13 Mn |
| Oct 2, 2022 | 28.64 Mn |
| Jul 3, 2022 | 26.15 Mn |
| Apr 3, 2022 | 37.05 Mn |
| Oct 3, 2021 | 60.55 Mn |
| Jul 4, 2021 | 6.43 Mn |
API Access
Revvity Non Operating Interest 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=non-operating-interest-expenses&ticker=RVTY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-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=non-operating-interest-expenses&ticker=RVTY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();