Stereotaxis (STXS) Total Current Liabilities (2009 - 2026)
Stereotaxis (STXS) posted Total Current Liabilities of $31.76 million for Q3 2026, up 55.9% from $20.37 million a year earlier and up 18.5% from the prior quarter.
Stereotaxis (STXS) Total Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Stereotaxis' Total Current Liabilities came in at $22.36 million, up 3.5% from FY2024.
- Annual Total Current Liabilities shows a five-year compound annual growth rate of 10.5% (FY2020 to FY2025).
- In prior years, Stereotaxis' Total Current Liabilities was $21.6 million in FY2024 (+63.1%), $13.25 million in FY2023 (-7.3%), $14.29 million in FY2022 (+7.8%) and $13.26 million in FY2021 (-2.3%).
- The Q3 2026 figure stands as the highest quarterly Total Current Liabilities since Q3 2017.
- On a year-over-year basis, Total Current Liabilities increased in six of the last eight quarters, with growth averaging 37.9%.
- The strongest year-over-year quarter for Total Current Liabilities in the past five years was Q1 2025, with growth of 88.5%; the weakest was Q1 2022, with a decline of 31.1%.
- According to Business Quant data, Total Current Liabilities for the three prior quarters was $26.8 million (Q2 2026), $23.09 million (Q1 2026) and $22.36 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 259.44 Bn | 236.08 Bn | 5.13 Bn | 14.17 Bn |
| 2 | Abbott Laboratories | 187.98 Bn | 162.45 Bn | 7.39 Bn | 16.15 Bn |
| 3 | Danaher | 163.91 Bn | 143.58 Bn | 3.84 Bn | 9.05 Bn |
| 4 | Intuitive Surgical | 153.75 Bn | 134.17 Bn | 2.08 Bn | 2.53 Bn |
| 5 | Medtronic | 131.67 Bn | 97.80 Bn | 6.34 Bn | 11.80 Bn |
| 6 | Stryker | 117.84 Bn | 104.03 Bn | 4.25 Bn | 6.50 Bn |
| 7 | Boston Scientific | 64.27 Bn | 59.95 Bn | 3.43 Bn | 5.98 Bn |
| 8 | Edwards Lifesciences | 61.69 Bn | 45.00 Bn | 1.35 Bn | 1.58 Bn |
| 9 | Medline | 51.94 Bn | 49.07 Bn | 1.93 Bn | 3.13 Bn |
| 10 | Stereotaxis | 83.17 Mn | 83.17 Mn | 3.96 Mn | 31.76 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 31.76 Mn |
| Jun 30, 2026 | 26.80 Mn |
| Mar 31, 2026 | 23.09 Mn |
| Dec 31, 2025 | 22.36 Mn |
| Sep 30, 2025 | 20.37 Mn |
| Jun 30, 2025 | 20.75 Mn |
| Mar 31, 2025 | 24.23 Mn |
| Dec 31, 2024 | 21.60 Mn |
| Sep 30, 2024 | 20.72 Mn |
| Jun 30, 2024 | 12.25 Mn |
| Mar 31, 2024 | 12.85 Mn |
| Dec 31, 2023 | 13.25 Mn |
| Sep 30, 2023 | 13.03 Mn |
| Jun 30, 2023 | 14.38 Mn |
| Mar 31, 2023 | 14.27 Mn |
| Dec 31, 2022 | 14.29 Mn |
| Sep 30, 2022 | 15.55 Mn |
| Jun 30, 2022 | 13.66 Mn |
| Mar 31, 2022 | 11.49 Mn |
| Dec 31, 2021 | 13.26 Mn |
Stereotaxis 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=STXS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "ticker": "STXS", "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=STXS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();