Adm Tronics Unlimited (ADMT) Accumulated Expenses (2011 - 2026)
Adm Tronics Unlimited's Accumulated Expenses came in at $92,487 for fiscal Q1 2027 (quarter ended Jun 30, 2026), up 88.3% from $49,128 a year earlier and up 72.2% from the prior quarter.
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Analysis
Adm Tronics Unlimited (ADMT) Accumulated Expenses (2011 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Adm Tronics Unlimited's Accumulated Expenses was $53,721, up 83.7% from FY2025.
- Accumulated Expenses carries a five-year compound annual growth rate of -16.3% (FY2021 to FY2026).
- Going back by fiscal year, Accumulated Expenses was $29,240 in FY2025 (-52.3%), $61,268 in FY2024 (-19.0%), $75,659 in FY2023 (-43.1%) and $133,053 in FY2022 (+2.0%).
- The fiscal Q1 2027 figure represents the highest quarterly Accumulated Expenses since fiscal Q3 2024.
- Year-over-year, Accumulated Expenses has increased for three consecutive quarters, with growth averaging 2.2% over the last eight quarters.
- The fastest year-over-year change in Accumulated Expenses over five years came in fiscal Q1 2027 (growth of 88.3%), and the weakest in fiscal Q2 2025 (a decline of 73.1%).
- Business Quant data shows ADMT's Accumulated Expenses at $53,721 (Q4 2026), $83,095 (Q3 2026) and $19,879 (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 257.99 Bn | 237.02 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 175.01 Bn | 145.44 Bn | 7.27 Bn |
| 3 | Danaher | 164.93 Bn | 148.74 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 151.84 Bn | 131.26 Bn | 1.96 Bn |
| 5 | Medtronic | 119.05 Bn | 84.30 Bn | 6.34 Bn |
| 6 | Stryker | 113.89 Bn | 100.00 Bn | 4.50 Bn |
| 7 | Boston Scientific | 65.37 Bn | 60.13 Bn | 3.85 Bn |
| 8 | Becton Dickinson | 53.36 Bn | 50.51 Bn | 2.32 Bn |
| 9 | Edwards Lifesciences | 50.83 Bn | 34.83 Bn | 1.35 Bn |
| 10 | Adm Tronics Unlimited | 3.38 Mn | 2.28 Mn | 395,050.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 92,487.00 |
| Mar 31, 2026 | 53,721.00 |
| Dec 31, 2025 | 83,095.00 |
| Sep 30, 2025 | 19,879.00 |
| Jun 30, 2025 | 49,128.00 |
| Mar 31, 2025 | 29,240.00 |
| Dec 31, 2024 | 56,606.00 |
| Sep 30, 2024 | 20,599.00 |
| Jun 30, 2024 | 69,154.00 |
| Mar 31, 2024 | 61,268.00 |
| Dec 31, 2023 | 100,531.00 |
| Sep 30, 2023 | 76,709.00 |
| Jun 30, 2023 | 108,878.00 |
| Mar 31, 2023 | 75,659.00 |
| Dec 31, 2022 | 108,718.00 |
| Sep 30, 2022 | 76,240.00 |
| Jun 30, 2022 | 103,866.00 |
| Mar 31, 2022 | 133,053.00 |
| Dec 31, 2021 | 112,418.00 |
| Sep 30, 2021 | 129,328.00 |
API Access
Adm Tronics Unlimited 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=ADMT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "ADMT", "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=ADMT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();