RenovoRx (RNXT) Operating Expenses (2020 - 2026)
RenovoRx's Operating Expenses was $4.12 million in Q2 2026, up 39.6% from $2.95 million a year earlier and up 4.2% from the prior quarter.
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Analysis
RenovoRx (RNXT) Operating Expenses (2020 - 2026) Analysis & Trends
On a trailing twelve-month basis, RenovoRx's Operating Expenses was $15.21 million through Jun 30, 2026, up 30.4% year-over-year; for FY2025, it came in at $13.31 million, up 20.8% from FY2024.
- Operating Expenses shows a five-year compound annual growth rate of 32.9% (FY2020 to FY2025).
- In earlier years, Operating Expenses was $11.01 million in FY2024 (-3.4%), $11.4 million in FY2023 (+14.5%), $9.95 million in FY2022 (+75.5%) and $5.67 million in FY2021 (+77.0%).
- The Q2 2026 figure marks the highest quarterly Operating Expenses in data going back to Q3 2020.
- Compared with a year earlier, Operating Expenses has increased for four straight quarters, with growth averaging 24.4% over the last eight quarters.
- The best year-over-year quarter for Operating Expenses over five years was Q4 2021 (growth of 268.7%); the worst was Q1 2024 (a decline of 24.1%).
- Per Business Quant data, RNXT's Operating Expenses in the three quarters before Q2 2026 was $3.95 million (Q1 2026), $3.73 million (Q4 2025) and $3.41 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 258.31 Bn | 237.34 Bn | 4.88 Bn | 9.91 Bn |
| 2 | Abbott Laboratories | 173.24 Bn | 143.67 Bn | 7.27 Bn | 10.90 Bn |
| 3 | Danaher | 163.70 Bn | 147.51 Bn | 3.61 Bn | 2.48 Bn |
| 4 | Intuitive Surgical | 152.89 Bn | 132.31 Bn | 1.96 Bn | 988.50 Mn |
| 5 | Medtronic | 118.89 Bn | 84.14 Bn | 6.34 Bn | 4.06 Bn |
| 6 | Stryker | 113.70 Bn | 99.82 Bn | 4.50 Bn | 2.84 Bn |
| 7 | Boston Scientific | 65.15 Bn | 59.92 Bn | 3.85 Bn | 2.67 Bn |
| 8 | Becton Dickinson | 53.35 Bn | 50.50 Bn | 2.32 Bn | 4.32 Bn |
| 9 | Edwards Lifesciences | 50.80 Bn | 34.81 Bn | 1.35 Bn | 840.10 Mn |
| 10 | RenovoRx | 58.41 Mn | 19.45 Mn | 766,000.00 | 4.12 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.12 Mn |
| Mar 31, 2026 | 3.95 Mn |
| Dec 31, 2025 | 3.73 Mn |
| Sep 30, 2025 | 3.41 Mn |
| Jun 30, 2025 | 2.95 Mn |
| Mar 31, 2025 | 3.21 Mn |
| Dec 31, 2024 | 2.68 Mn |
| Sep 30, 2024 | 2.83 Mn |
| Jun 30, 2024 | 3.03 Mn |
| Mar 31, 2024 | 2.48 Mn |
| Dec 31, 2023 | 1.78 Mn |
| Sep 30, 2023 | 2.98 Mn |
| Jun 30, 2023 | 3.38 Mn |
| Mar 31, 2023 | 3.26 Mn |
| Dec 31, 2022 | 2.17 Mn |
| Sep 30, 2022 | 2.16 Mn |
| Jun 30, 2022 | 2.61 Mn |
| Mar 31, 2022 | 3.01 Mn |
| Dec 31, 2021 | 2.36 Mn |
| Sep 30, 2021 | 1.40 Mn |
API Access
RenovoRx 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=RNXT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "RNXT", "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=RNXT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();