Stereotaxis (STXS) Accumulated Expenses (2010 - 2026)
Stereotaxis (STXS) posted Accumulated Expenses of $1.48 million for Q1 2026, down 49.5% from $2.93 million a year earlier and down 28.4% from the prior quarter.
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Analysis
Stereotaxis (STXS) Accumulated Expenses (2010 - 2026) Analysis & Trends
At the end of FY2025, Stereotaxis' Accumulated Expenses came in at $2.07 million, down 29.3% from FY2024.
- Annual Accumulated Expenses has declined for three consecutive years, with a five-year compound annual growth rate of -8.4% (FY2020 to FY2025).
- In prior years, Stereotaxis' Accumulated Expenses was $2.92 million in FY2024 (-1.7%), $2.97 million in FY2023 (-10.1%), $3.31 million in FY2022 (+30.8%) and $2.53 million in FY2021 (-21.2%).
- The Q1 2026 figure stands as the lowest quarterly Accumulated Expenses in data going back to Q4 2010.
- On a year-over-year basis, Accumulated Expenses has declined in each of the last six quarters, with an average decline of 20.8% over the last eight quarters.
- The strongest year-over-year quarter for Accumulated Expenses in the past five years was Q1 2023, with growth of 42.6%; the weakest was Q1 2026, with a decline of 49.5%.
- According to Business Quant data, Accumulated Expenses for the three prior quarters was $2.07 million (Q4 2025), $1.97 million (Q3 2025) and $1.73 million (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 241.25 Bn | 220.40 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 167.33 Bn | 138.41 Bn | 7.27 Bn |
| 3 | Danaher | 148.83 Bn | 132.65 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 142.00 Bn | 121.55 Bn | 1.96 Bn |
| 5 | Medtronic | 110.70 Bn | 76.57 Bn | 6.34 Bn |
| 6 | Stryker | 104.72 Bn | 90.84 Bn | 4.50 Bn |
| 7 | Boston Scientific | 62.66 Bn | 57.67 Bn | 3.85 Bn |
| 8 | Edwards Lifesciences | 49.13 Bn | 33.24 Bn | 1.35 Bn |
| 9 | Becton Dickinson | 48.51 Bn | 45.66 Bn | 2.32 Bn |
| 10 | Stereotaxis | 119.24 Mn | 119.24 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 1.48 Mn |
| Dec 31, 2025 | 2.07 Mn |
| Sep 30, 2025 | 1.97 Mn |
| Jun 30, 2025 | 1.73 Mn |
| Mar 31, 2025 | 2.93 Mn |
| Dec 31, 2024 | 2.92 Mn |
| Sep 30, 2024 | 3.38 Mn |
| Jun 30, 2024 | 2.70 Mn |
| Mar 31, 2024 | 3.16 Mn |
| Dec 31, 2023 | 2.97 Mn |
| Sep 30, 2023 | 3.16 Mn |
| Jun 30, 2023 | 2.92 Mn |
| Mar 31, 2023 | 2.80 Mn |
| Dec 31, 2022 | 3.31 Mn |
| Sep 30, 2022 | 3.21 Mn |
| Jun 30, 2022 | 2.13 Mn |
| Mar 31, 2022 | 1.97 Mn |
| Dec 31, 2021 | 2.53 Mn |
| Sep 30, 2021 | 2.56 Mn |
| Jun 30, 2021 | 2.86 Mn |
API Access
Stereotaxis Accumulated Expenses 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=accumulated-expenses&ticker=STXS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=STXS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();