Stimcell Energetics (STME) Non Operating Interest Expenses (2016 - 2026)
Stimcell Energetics' Non Operating Interest Expenses came in at $20,740 for fiscal Q4 2026 (quarter ended May 31, 2026), up 86.1% from $11,143 a year earlier and up 11.2% from the prior quarter.
Stimcell Energetics (STME) Non Operating Interest Expenses (2016 - 2026) Analysis & Trends
For FY2026 (ended May 31, 2026), Stimcell Energetics' Non Operating Interest Expenses was $69,348, up 81.3% from FY2025.
- Non Operating Interest Expenses carries a five-year compound annual growth rate of 16.7% (FY2021 to FY2026).
- Going back by fiscal year, Non Operating Interest Expenses was $38,256 in FY2025 (-37.9%), $61,651 in FY2024 (+30.1%), $47,384 in FY2023 (+84.5%) and $25,686 in FY2022 (-19.8%).
- The fiscal Q4 2026 figure represents the highest quarterly Non Operating Interest Expenses since fiscal Q1 2024.
- Year-over-year, Non Operating Interest Expenses has increased for five consecutive quarters, with growth averaging 30.3% over the last eight quarters.
- The fastest year-over-year change in Non Operating Interest Expenses over five years came in fiscal Q1 2024 (growth of 167.5%), and the weakest in fiscal Q1 2025 (a decline of 65.8%).
- Business Quant data shows STME's Non Operating Interest Expenses at $18,658 (Q3 2026), $16,702 (Q2 2026) and $13,248 (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 401.00 Mn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 351.00 Mn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 107.00 Mn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | - |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 186.00 Mn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 141.00 Mn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 96.00 Mn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | - |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 132.00 Mn |
| 10 | Stimcell Energetics | 4.65 Mn | 4.59 Mn | - | 20,740.00 |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 20,740.00 |
| Feb 28, 2026 | 18,658.00 |
| Nov 30, 2025 | 16,702.00 |
| Aug 31, 2025 | 13,248.00 |
| May 31, 2025 | 11,143.00 |
| Feb 28, 2025 | 9,451.00 |
| Nov 30, 2024 | 8,810.00 |
| Aug 31, 2024 | 8,852.00 |
| May 31, 2024 | 7,996.00 |
| Feb 29, 2024 | 9,771.00 |
| Nov 30, 2023 | 17,985.00 |
| Aug 31, 2023 | 25,899.00 |
| May 31, 2023 | 14,610.00 |
| Feb 28, 2023 | 12,329.00 |
| Nov 30, 2022 | 10,764.00 |
| Aug 31, 2022 | 9,681.00 |
| May 31, 2022 | 8,455.00 |
| Feb 28, 2022 | 6,849.00 |
| Nov 30, 2021 | 5,442.00 |
| Aug 31, 2021 | 4,940.00 |
Stimcell Energetics Non Operating Interest 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=non-operating-interest-expenses&ticker=STME&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "ticker": "STME", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=non-operating-interest-expenses&ticker=STME&period=max&api_key=YOUR_API_KEY");
const data = await res.json();