Stereotaxis (STXS) Total Liabilities (2010 - 2026)
Stereotaxis (STXS) recorded Total Liabilities of $39.67 million in Q1 2026, down 7.4% from $42.83 million a year earlier but up 2.3% from the prior quarter.
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Analysis
Stereotaxis (STXS) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Stereotaxis reported Total Liabilities of $38.77 million, down 4.6% from FY2024.
- Annual Total Liabilities has a five-year compound annual growth rate of 13.2% (FY2020 to FY2025).
- Across earlier years, Total Liabilities came in at $40.64 million in FY2024 (+59.0%), $25.57 million in FY2023 (-5.5%), $27.07 million in FY2022 (-0.3%) and $27.15 million in FY2021 (+30.3%).
- Quarterly Total Liabilities has ranged from $20.87 million in Q2 2021 to $42.83 million in Q1 2025 over the past five years.
- On a year-over-year basis, Total Liabilities has declined for three consecutive quarters, with growth averaging 28.1% over the last eight quarters.
- Peak year-over-year performance for Total Liabilities in the last five years was growth of 72.1% in Q1 2025, against a decline of 8.8% in Q3 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $38.77 million (Q4 2025), $39.32 million (Q3 2025) and $39.72 million (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 60.49 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 57.45 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 39.78 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | 2.58 Bn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 42.46 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 23.94 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 20.04 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 3.14 Bn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 26.32 Bn |
| 10 | Stereotaxis | 124.25 Mn | 124.25 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 39.67 Mn |
| Dec 31, 2025 | 38.77 Mn |
| Sep 30, 2025 | 39.32 Mn |
| Jun 30, 2025 | 39.72 Mn |
| Mar 31, 2025 | 42.83 Mn |
| Dec 31, 2024 | 40.64 Mn |
| Sep 30, 2024 | 40.12 Mn |
| Jun 30, 2024 | 24.66 Mn |
| Mar 31, 2024 | 24.89 Mn |
| Dec 31, 2023 | 25.57 Mn |
| Sep 30, 2023 | 25.81 Mn |
| Jun 30, 2023 | 26.93 Mn |
| Mar 31, 2023 | 27.00 Mn |
| Dec 31, 2022 | 27.07 Mn |
| Sep 30, 2022 | 28.31 Mn |
| Jun 30, 2022 | 26.74 Mn |
| Mar 31, 2022 | 25.11 Mn |
| Dec 31, 2021 | 27.15 Mn |
| Sep 30, 2021 | 27.35 Mn |
| Jun 30, 2021 | 20.87 Mn |
API Access
Stereotaxis 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=STXS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=STXS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();