Stimcell Energetics (STME) Total Liabilities (2011 - 2026)
Stimcell Energetics (STME) posted Total Liabilities of $2.03 million for fiscal Q1 2027 (quarter ended Aug 31, 2026), up 44.1% from $1.41 million a year earlier and up 7.4% from the prior quarter.
Stimcell Energetics (STME) Total Liabilities (2011 - 2026) Analysis & Trends
At the end of FY2026 (ended May 31, 2026), Stimcell Energetics' Total Liabilities came in at $1.89 million, up 49.3% from FY2025.
- Annual Total Liabilities shows a five-year compound annual growth rate of 3.1% (FY2021 to FY2026).
- In prior fiscal years, Stimcell Energetics' Total Liabilities was $1.27 million in FY2025 (+45.3%), $872,577 in FY2024 (-64.9%), $2.49 million in FY2023 (+21.4%) and $2.05 million in FY2022 (+25.9%).
- The fiscal Q1 2027 figure stands as the highest quarterly Total Liabilities since fiscal Q2 2024.
- On a year-over-year basis, Total Liabilities has increased in each of the last seven quarters, with growth averaging 35.2% over the last eight quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was fiscal Q3 2026, with growth of 57.5%; the weakest was fiscal Q3 2024, with a decline of 65.8%.
- According to Business Quant data, Total Liabilities for the three prior fiscal quarters was $1.89 million (Q4 2026), $1.71 million (Q3 2026) and $1.59 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 265.71 Bn | 242.23 Bn | 5.13 Bn | 59.47 Bn |
| 2 | Abbott Laboratories | 189.37 Bn | 163.23 Bn | 7.39 Bn | 56.62 Bn |
| 3 | Danaher | 164.78 Bn | 144.43 Bn | 3.84 Bn | 39.65 Bn |
| 4 | Intuitive Surgical | 157.85 Bn | 138.13 Bn | 2.08 Bn | 3.23 Bn |
| 5 | Medtronic | 129.66 Bn | 94.91 Bn | 6.34 Bn | 42.46 Bn |
| 6 | Stryker | 121.82 Bn | 108.01 Bn | 4.25 Bn | 23.79 Bn |
| 7 | Boston Scientific | 63.42 Bn | 58.86 Bn | 3.43 Bn | 19.59 Bn |
| 8 | Edwards Lifesciences | 59.49 Bn | 42.69 Bn | 1.35 Bn | 3.18 Bn |
| 9 | Becton Dickinson | 58.38 Bn | 55.53 Bn | 2.32 Bn | 26.32 Bn |
| 10 | Stimcell Energetics | 4.65 Mn | 4.58 Mn | - | 2.03 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 2.03 Mn |
| May 31, 2026 | 1.89 Mn |
| Feb 28, 2026 | 1.71 Mn |
| Nov 30, 2025 | 1.59 Mn |
| Aug 31, 2025 | 1.41 Mn |
| May 31, 2025 | 1.27 Mn |
| Feb 28, 2025 | 1.09 Mn |
| Nov 30, 2024 | 1.02 Mn |
| Aug 31, 2024 | 931,127.00 |
| May 31, 2024 | 872,577.00 |
| Feb 29, 2024 | 791,864.00 |
| Nov 30, 2023 | 2.55 Mn |
| Aug 31, 2023 | 2.53 Mn |
| May 31, 2023 | 2.49 Mn |
| Feb 28, 2023 | 2.32 Mn |
| Nov 30, 2022 | 2.22 Mn |
| Aug 31, 2022 | 2.13 Mn |
| May 31, 2022 | 2.05 Mn |
| Feb 28, 2022 | 1.89 Mn |
| Nov 30, 2021 | 1.78 Mn |
Stimcell Energetics 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=STME&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=STME&period=max&api_key=YOUR_API_KEY");
const data = await res.json();