Stereotaxis (STXS) Operating Expenses (2010 - 2026)
Stereotaxis (STXS) reported Operating Expenses of $9.78 million for Q1 2026, down 2.2% from $9.99 million a year earlier and down 2.0% from the prior quarter.
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Analysis
Stereotaxis (STXS) Operating Expenses (2010 - 2026) Analysis & Trends
Over the twelve months ended Mar 31, 2026, Stereotaxis' Operating Expenses came in at $38.97 million, down 4.1% year-over-year; for FY2025, it came in at $39.18 million, down 0.4% from FY2024.
- Operating Expenses has a five-year compound annual growth rate of 8.8% (FY2020 to FY2025).
- By year, Operating Expenses came in at $39.33 million in FY2024 (+7.2%), $36.7 million in FY2023 (-1.5%), $37.25 million in FY2022 (+3.1%) and $36.12 million in FY2021 (+40.7%).
- Five-year quarterly Operating Expenses spans a low of $8.04 million in Q4 2023 and a high of $10.84 million in Q4 2024.
- Year over year, Operating Expenses gained in four of the last eight quarters, with growth averaging 4.9%.
- The high point for year-over-year Operating Expenses in five years was Q2 2021 (growth of 60.5%); the low point was Q2 2025 (a decline of 8.3%).
- Per Business Quant data, the three quarters before Q1 2026 came in at $9.98 million (Q4 2025), $10.66 million (Q3 2025) and $8.56 million (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 9.91 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 10.90 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 2.48 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | 988.50 Mn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 4.06 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 2.84 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 2.67 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 840.10 Mn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 4.32 Bn |
| 10 | Stereotaxis | 124.25 Mn | 124.25 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 9.78 Mn |
| Dec 31, 2025 | 9.98 Mn |
| Sep 30, 2025 | 10.66 Mn |
| Jun 30, 2025 | 8.56 Mn |
| Mar 31, 2025 | 9.99 Mn |
| Dec 31, 2024 | 10.84 Mn |
| Sep 30, 2024 | 10.44 Mn |
| Jun 30, 2024 | 9.33 Mn |
| Mar 31, 2024 | 8.71 Mn |
| Dec 31, 2023 | 8.04 Mn |
| Sep 30, 2023 | 9.70 Mn |
| Jun 30, 2023 | 9.46 Mn |
| Mar 31, 2023 | 9.50 Mn |
| Dec 31, 2022 | 8.77 Mn |
| Sep 30, 2022 | 9.62 Mn |
| Jun 30, 2022 | 9.85 Mn |
| Mar 31, 2022 | 9.01 Mn |
| Dec 31, 2021 | 9.30 Mn |
| Sep 30, 2021 | 9.35 Mn |
| Jun 30, 2021 | 9.92 Mn |
API Access
Stereotaxis Operating 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=operating-expenses&ticker=STXS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=STXS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();