RxSight (RXST) Total Liabilities (2020 - 2026)
RxSight (RXST) posted Total Liabilities of $89.36 million for Q2 2026, up 188.3% from $31 million a year earlier and up 143.5% from the prior quarter.
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Analysis
RxSight (RXST) Total Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, RxSight's Total Liabilities came in at $36.13 million, down 3.2% from FY2024.
- Annual Total Liabilities shows a five-year compound annual growth rate of -41.6% (FY2020 to FY2025).
- In prior years, RxSight's Total Liabilities was $37.33 million in FY2024 (+68.2%), $22.19 million in FY2023 (-63.2%), $60.26 million in FY2022 (+10.6%) and $54.48 million in FY2021 (-89.7%).
- The Q2 2026 figure stands as the highest quarterly Total Liabilities since Q2 2021.
- On a year-over-year basis, Total Liabilities increased in six of the last eight quarters, with growth averaging 50.1%.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q2 2026, with growth of 188.3%; the weakest was Q4 2021, with a decline of 89.7%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $36.7 million (Q1 2026), $36.13 million (Q4 2025) and $32.56 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 60.49 Bn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 57.45 Bn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 39.78 Bn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | 2.58 Bn |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 42.46 Bn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 23.94 Bn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 20.04 Bn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 3.14 Bn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 26.32 Bn |
| 10 | RxSight | 198.36 Mn | -10.44 Mn | - | 89.36 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 89.36 Mn |
| Mar 31, 2026 | 36.70 Mn |
| Dec 31, 2025 | 36.13 Mn |
| Sep 30, 2025 | 32.56 Mn |
| Jun 30, 2025 | 31.00 Mn |
| Mar 31, 2025 | 33.73 Mn |
| Dec 31, 2024 | 37.33 Mn |
| Sep 30, 2024 | 33.21 Mn |
| Jun 30, 2024 | 30.29 Mn |
| Mar 31, 2024 | 19.24 Mn |
| Dec 31, 2023 | 22.19 Mn |
| Sep 30, 2023 | 20.37 Mn |
| Jun 30, 2023 | 38.07 Mn |
| Mar 31, 2023 | 57.52 Mn |
| Dec 31, 2022 | 60.26 Mn |
| Sep 30, 2022 | 59.75 Mn |
| Jun 30, 2022 | 56.73 Mn |
| Mar 31, 2022 | 53.90 Mn |
| Dec 31, 2021 | 54.48 Mn |
| Sep 30, 2021 | 52.85 Mn |
API Access
RxSight Total Liabilities 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=total-liabilities&ticker=RXST&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=RXST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();