RxSight (RXST) Non Operating Interest Expenses (2020 - 2026)
RxSight's Non Operating Interest Expenses came in at $3,000 for Q3 2026, down 25.0% from $4,000 a year earlier and unchanged from the prior quarter.
RxSight (RXST) Non Operating Interest Expenses (2020 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, RxSight reported Non Operating Interest Expenses of $14,000, down 30.0% year-over-year; for FY2025, it came in at $19,000, down 9.5% from FY2024.
- Non Operating Interest Expenses has declined in each of the last three years, with a five-year compound annual growth rate of -48.2% (FY2020 to FY2025).
- Going back by year, Non Operating Interest Expenses was $21,000 in FY2024 (-99.4%), $3.31 million in FY2023 (-33.1%), $4.95 million in FY2022 (+34.3%) and $3.68 million in FY2021 (+622.0%).
- The five-year range for quarterly Non Operating Interest Expenses is $3,000 (Q1 2026) to $1.57 million (Q2 2023).
- Year-over-year, Non Operating Interest Expenses has declined for three consecutive quarters, with an average decline of 15.8% over the last eight quarters.
- The fastest year-over-year change in Non Operating Interest Expenses over five years came in Q4 2021 (growth of 116.7%), and the weakest in Q4 2023 (a decline of 99.7%).
- Business Quant data shows RXST's Non Operating Interest Expenses at $3,000 (Q2 2026), $3,000 (Q1 2026) and $5,000 (Q4 2025) in the three quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 259.44 Bn | 236.08 Bn | 5.13 Bn | 417.00 Mn |
| 2 | Abbott Laboratories | 187.98 Bn | 162.45 Bn | 7.39 Bn | 350.00 Mn |
| 3 | Danaher | 163.91 Bn | 143.58 Bn | 3.84 Bn | 135.00 Mn |
| 4 | Intuitive Surgical | 153.75 Bn | 134.17 Bn | 2.08 Bn | - |
| 5 | Medtronic | 131.67 Bn | 97.80 Bn | 6.34 Bn | 186.00 Mn |
| 6 | Stryker | 117.84 Bn | 104.03 Bn | 4.25 Bn | 143.00 Mn |
| 7 | Boston Scientific | 64.27 Bn | 59.95 Bn | 3.43 Bn | 100.00 Mn |
| 8 | Edwards Lifesciences | 61.69 Bn | 45.00 Bn | 1.35 Bn | - |
| 9 | Medline | 51.94 Bn | 49.07 Bn | 1.93 Bn | - |
| 10 | RxSight | 223.05 Mn | -31.65 Mn | 18.10 Mn | 3,000.00 |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 3,000.00 |
| Jun 30, 2026 | 3,000.00 |
| Mar 31, 2026 | 3,000.00 |
| Dec 31, 2025 | 5,000.00 |
| Sep 30, 2025 | 4,000.00 |
| Jun 30, 2025 | 5,000.00 |
| Mar 31, 2025 | 6,000.00 |
| Dec 31, 2024 | 5,000.00 |
| Sep 30, 2024 | 5,000.00 |
| Jun 30, 2024 | 6,000.00 |
| Mar 31, 2024 | 6,000.00 |
| Dec 31, 2023 | 4,000.00 |
| Sep 30, 2023 | 230,000.00 |
| Jun 30, 2023 | 1.57 Mn |
| Mar 31, 2023 | 1.51 Mn |
| Dec 31, 2022 | 1.45 Mn |
| Sep 30, 2022 | 1.30 Mn |
| Jun 30, 2022 | 1.14 Mn |
| Mar 31, 2022 | 1.06 Mn |
| Dec 31, 2021 | 1.08 Mn |
RxSight 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=RXST&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "ticker": "RXST", "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=RXST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();