RxSight (RXST) Long-Term Debt Repayments (2020 - 2026)
RxSight (RXST) posted Long-Term Debt Repayments of $7,000 for Q2 2026, up 133.3% from $3,000 a year earlier and unchanged from the prior quarter.
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Analysis
RxSight (RXST) Long-Term Debt Repayments (2020 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Long-Term Debt Repayments at RxSight was $24,000, down 38.5% year-over-year; for FY2025, it came in at $26,000, down 57.4% from FY2024.
- Annual Long-Term Debt Repayments shows a five-year compound annual growth rate of -28.8% (FY2020 to FY2025).
- In prior years, RxSight's Long-Term Debt Repayments was $61,000 in FY2024 (-60.1%), $153,000 in FY2023 (+26.4%), $121,000 in FY2022 (+348.1%) and $27,000 in FY2021 (-81.0%).
- Quarterly Long-Term Debt Repayments has run from a low of -$9,000 in Q4 2025 to a high of $44,000 in Q1 2022 over five years.
- On a year-over-year basis, Long-Term Debt Repayments increased in two of the last seven quarters, with an average decline of 14.2%.
- The strongest year-over-year quarter for Long-Term Debt Repayments in the past five years was Q4 2022, with growth of 550.0%; the weakest was Q3 2021, with a decline of 82.1%.
- According to Business Quant data, Long-Term Debt Repayments for the three prior quarters was $7,000 (Q1 2026), -$9,000 (Q4 2025) and $19,000 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 257.99 Bn | 237.02 Bn | 4.88 Bn | - |
| 2 | Abbott Laboratories | 175.01 Bn | 145.44 Bn | 7.27 Bn | 1.41 Bn |
| 3 | Danaher | 164.93 Bn | 148.74 Bn | 3.61 Bn | - |
| 4 | Intuitive Surgical | 151.84 Bn | 131.26 Bn | 1.96 Bn | - |
| 5 | Medtronic | 119.05 Bn | 84.30 Bn | 6.34 Bn | - |
| 6 | Stryker | 113.89 Bn | 100.00 Bn | 4.50 Bn | - |
| 7 | Boston Scientific | 65.37 Bn | 60.13 Bn | 3.85 Bn | - |
| 8 | Becton Dickinson | 53.36 Bn | 50.51 Bn | 2.32 Bn | 2.00 Bn |
| 9 | Edwards Lifesciences | 50.83 Bn | 34.83 Bn | 1.35 Bn | - |
| 10 | RxSight | 204.14 Mn | -4.66 Mn | - | 7,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7,000.00 |
| Mar 31, 2026 | 7,000.00 |
| Dec 31, 2025 | -9,000.00 |
| Sep 30, 2025 | 19,000.00 |
| Jun 30, 2025 | 3,000.00 |
| Mar 31, 2025 | 13,000.00 |
| Dec 31, 2024 | 12,000.00 |
| Sep 30, 2024 | 11,000.00 |
| Jun 30, 2024 | 11,000.00 |
| Mar 31, 2024 | 27,000.00 |
| Dec 31, 2023 | 34,000.00 |
| Sep 30, 2023 | 20.04 Mn |
| Jun 30, 2023 | 40.04 Mn |
| Mar 31, 2023 | 41,000.00 |
| Dec 31, 2022 | 39,000.00 |
| Sep 30, 2022 | 22,000.00 |
| Jun 30, 2022 | 16,000.00 |
| Mar 31, 2022 | 44,000.00 |
| Dec 31, 2021 | 6,000.00 |
| Sep 30, 2021 | 5,000.00 |
API Access
RxSight Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=RXST&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=RXST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();