Stereotaxis (STXS) Total Liabilities (2009 - 2026)
Stereotaxis (STXS) recorded Total Liabilities of $55.58 million in Q3 2026, up 41.4% from $39.32 million a year earlier and up 28.2% from the prior quarter.
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Analysis
Stereotaxis (STXS) Total Liabilities (2009 - 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%).
- The Q3 2026 figure is the highest quarterly Total Liabilities since Q1 2012.
- On a year-over-year basis, Total Liabilities rose in five of the last eight quarters, with growth averaging 28.6%.
- 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 $43.34 million (Q2 2026), $39.67 million (Q1 2026) and $38.77 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 259.44 Bn | 236.08 Bn | 5.13 Bn | 59.47 Bn |
| 2 | Abbott Laboratories | 187.98 Bn | 162.45 Bn | 7.39 Bn | 56.62 Bn |
| 3 | Danaher | 163.91 Bn | 143.58 Bn | 3.84 Bn | 39.65 Bn |
| 4 | Intuitive Surgical | 153.75 Bn | 134.17 Bn | 2.08 Bn | 3.23 Bn |
| 5 | Medtronic | 131.67 Bn | 97.80 Bn | 6.34 Bn | 42.46 Bn |
| 6 | Stryker | 117.84 Bn | 104.03 Bn | 4.25 Bn | 23.79 Bn |
| 7 | Boston Scientific | 64.27 Bn | 59.95 Bn | 3.43 Bn | 19.59 Bn |
| 8 | Edwards Lifesciences | 61.69 Bn | 45.00 Bn | 1.35 Bn | 3.18 Bn |
| 9 | Medline | 51.94 Bn | 49.07 Bn | 1.93 Bn | 20.79 Bn |
| 10 | Stereotaxis | 83.17 Mn | 83.17 Mn | 3.96 Mn | 55.58 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 55.58 Mn |
| Jun 30, 2026 | 43.34 Mn |
| 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 |
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();