RxSight (RXST) Total Current Liabilities (2020 - 2026)
RxSight's Total Current Liabilities came in at $80.44 million for Q2 2026, up 294.7% from $20.38 million a year earlier and up 193.8% from the prior quarter.
RxSight (RXST) Total Current Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, RxSight's Total Current Liabilities was $26.25 million, up 1.5% from FY2024.
- Total Current Liabilities has increased in each of the last four years, with a five-year compound annual growth rate of 17.7% (FY2020 to FY2025).
- Going back by year, Total Current Liabilities was $25.88 million in FY2024 (+23.8%), $20.9 million in FY2023 (+21.3%), $17.24 million in FY2022 (+55.6%) and $11.08 million in FY2021 (-4.5%).
- The Q2 2026 figure represents the highest quarterly Total Current Liabilities in data going back to Q4 2020.
- Year-over-year, Total Current Liabilities has increased for three consecutive quarters, with growth averaging 48.3% over the last eight quarters.
- The fastest year-over-year change in Total Current Liabilities over five years came in Q2 2026 (growth of 294.7%), and the weakest in Q4 2021 (a decline of 4.5%).
- Business Quant data shows RXST's Total Current Liabilities at $27.38 million (Q1 2026), $26.25 million (Q4 2025) and $22.29 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 15.07 Bn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 17.81 Bn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 8.11 Bn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | 1.92 Bn |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 11.80 Bn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 6.68 Bn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 6.43 Bn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 1.51 Bn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 9.40 Bn |
| 10 | RxSight | 198.36 Mn | -10.44 Mn | - | 80.44 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 80.44 Mn |
| Mar 31, 2026 | 27.38 Mn |
| Dec 31, 2025 | 26.25 Mn |
| Sep 30, 2025 | 22.29 Mn |
| Jun 30, 2025 | 20.38 Mn |
| Mar 31, 2025 | 22.74 Mn |
| Dec 31, 2024 | 25.88 Mn |
| Sep 30, 2024 | 22.64 Mn |
| Jun 30, 2024 | 19.62 Mn |
| Mar 31, 2024 | 18.33 Mn |
| Dec 31, 2023 | 20.90 Mn |
| Sep 30, 2023 | 18.94 Mn |
| Jun 30, 2023 | 16.57 Mn |
| Mar 31, 2023 | 14.88 Mn |
| Dec 31, 2022 | 17.24 Mn |
| Sep 30, 2022 | 16.37 Mn |
| Jun 30, 2022 | 13.00 Mn |
| Mar 31, 2022 | 10.66 Mn |
| Dec 31, 2021 | 11.08 Mn |
| Sep 30, 2021 | 9.18 Mn |
RxSight Total Current 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-current-liabilities&ticker=RXST&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-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-current-liabilities&ticker=RXST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();