Stereotaxis (STXS) Total Non-Current Liabilities (2009 - 2026)
Stereotaxis (STXS) reported Total Non-Current Liabilities of $42.24 million for Q2 2026, up 31.1% from $32.22 million a year earlier and up 26.2% from the prior quarter.
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Analysis
Stereotaxis (STXS) Total Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Stereotaxis posted Total Non-Current Liabilities of $32.95 million, down 4.4% from FY2024.
- Total Non-Current Liabilities has a five-year compound annual growth rate of 9.7% (FY2020 to FY2025).
- By year, Total Non-Current Liabilities came in at $34.45 million in FY2024 (+35.0%), $25.52 million in FY2023 (-5.5%), $27.02 million in FY2022 (+0.3%) and $26.93 million in FY2021 (+30.1%).
- The Q2 2026 figure ranks as the highest quarterly Total Non-Current Liabilities since Q4 2013.
- Year over year, Total Non-Current Liabilities gained in five of the last eight quarters, with growth averaging 19.4%.
- The high point for year-over-year Total Non-Current Liabilities in five years was Q1 2025 (growth of 46.9%); the low point was Q2 2024 (a decline of 8.5%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $33.47 million (Q1 2026), $32.95 million (Q4 2025) and $31.21 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 259.44 Bn | 236.08 Bn | 5.13 Bn | 54.88 Bn |
| 2 | Abbott Laboratories | 187.98 Bn | 162.45 Bn | 7.39 Bn | - |
| 3 | Danaher | 163.91 Bn | 143.58 Bn | 3.84 Bn | 33.44 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 | 38.93 Bn |
| 6 | Stryker | 117.84 Bn | 104.03 Bn | 4.25 Bn | 20.68 Bn |
| 7 | Boston Scientific | 64.27 Bn | 59.95 Bn | 3.43 Bn | 17.15 Bn |
| 8 | Edwards Lifesciences | 61.69 Bn | 45.00 Bn | 1.35 Bn | 2.26 Bn |
| 9 | Medline | 51.94 Bn | 49.07 Bn | 1.93 Bn | 17.66 Bn |
| 10 | Stereotaxis | 83.17 Mn | 83.17 Mn | 3.96 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 42.24 Mn |
| Mar 31, 2026 | 33.47 Mn |
| Dec 31, 2025 | 32.95 Mn |
| Sep 30, 2025 | 31.21 Mn |
| Jun 30, 2025 | 32.22 Mn |
| Mar 31, 2025 | 36.50 Mn |
| Dec 31, 2024 | 34.45 Mn |
| Sep 30, 2024 | 33.81 Mn |
| Jun 30, 2024 | 24.60 Mn |
| Mar 31, 2024 | 24.84 Mn |
| Dec 31, 2023 | 25.52 Mn |
| Sep 30, 2023 | 25.77 Mn |
| Jun 30, 2023 | 26.89 Mn |
| Mar 31, 2023 | 26.95 Mn |
| Dec 31, 2022 | 27.02 Mn |
| Sep 30, 2022 | 28.14 Mn |
| Jun 30, 2022 | 26.54 Mn |
| Mar 31, 2022 | 24.91 Mn |
| Dec 31, 2021 | 26.93 Mn |
| Sep 30, 2021 | 27.13 Mn |
API Access
Stereotaxis Total Non-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-non-current-liabilities&ticker=STXS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-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-non-current-liabilities&ticker=STXS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();