Adm Tronics Unlimited (ADMT) Operating Expenses (2010 - 2026)
Adm Tronics Unlimited (ADMT) posted Operating Expenses of $415,705 for fiscal Q1 2027 (quarter ended Jun 30, 2026), up 11.7% from $372,059 a year earlier and up 0.8% from the prior quarter.
Adm Tronics Unlimited (ADMT) Operating Expenses (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Adm Tronics Unlimited was $1.56 million, up 3.5% year-over-year; for FY2026 (ended Mar 31, 2026), it was $1.51 million, up 1.7% from FY2025.
- Annual Operating Expenses shows a five-year compound annual growth rate of -3.8% (FY2021 to FY2026).
- In prior fiscal years, Adm Tronics Unlimited's Operating Expenses was $1.49 million in FY2025 (-23.1%), $1.94 million in FY2024 (+19.0%), $1.63 million in FY2023 (-31.6%) and $2.38 million in FY2022 (+29.1%).
- The fiscal Q1 2027 figure stands as the highest quarterly Operating Expenses since fiscal Q2 2025.
- On a year-over-year basis, Operating Expenses increased in four of the last eight quarters, with an average decline of 3.7%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was fiscal Q2 2022, with growth of 154.2%; the weakest was fiscal Q4 2022, with a decline of 50.5%.
- According to Business Quant data, Operating Expenses for the three prior fiscal quarters was $412,281 (Q4 2026), $356,937 (Q3 2026) and $373,244 (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 254.31 Bn | 233.34 Bn | 4.88 Bn | 9.91 Bn |
| 2 | Abbott Laboratories | 176.98 Bn | 147.41 Bn | 7.27 Bn | 10.90 Bn |
| 3 | Danaher | 164.79 Bn | 148.60 Bn | 3.61 Bn | 2.48 Bn |
| 4 | Intuitive Surgical | 155.89 Bn | 135.31 Bn | 1.96 Bn | 988.50 Mn |
| 5 | Medtronic | 122.92 Bn | 88.18 Bn | 6.34 Bn | 4.06 Bn |
| 6 | Stryker | 118.26 Bn | 104.38 Bn | 4.50 Bn | 2.84 Bn |
| 7 | Boston Scientific | 67.03 Bn | 61.80 Bn | 3.85 Bn | 2.67 Bn |
| 8 | Becton Dickinson | 54.67 Bn | 51.82 Bn | 2.32 Bn | 4.32 Bn |
| 9 | Edwards Lifesciences | 51.63 Bn | 35.63 Bn | 1.35 Bn | 840.10 Mn |
| 10 | Adm Tronics Unlimited | 3.38 Mn | 2.28 Mn | 395,050.00 | 415,705.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 415,705.00 |
| Mar 31, 2026 | 412,281.00 |
| Dec 31, 2025 | 356,937.00 |
| Sep 30, 2025 | 373,244.00 |
| Jun 30, 2025 | 372,059.00 |
| Mar 31, 2025 | 310,974.00 |
| Dec 31, 2024 | 357,448.00 |
| Sep 30, 2024 | 464,640.00 |
| Jun 30, 2024 | 356,622.00 |
| Mar 31, 2024 | 612,770.00 |
| Dec 31, 2023 | 426,808.00 |
| Sep 30, 2023 | 433,802.00 |
| Jun 30, 2023 | 462,938.00 |
| Mar 31, 2023 | 372,017.00 |
| Dec 31, 2022 | 382,725.00 |
| Sep 30, 2022 | 455,141.00 |
| Jun 30, 2022 | 417,684.00 |
| Mar 31, 2022 | 375,450.00 |
| Dec 31, 2021 | 742,285.00 |
| Sep 30, 2021 | 915,238.00 |
Adm Tronics Unlimited 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=ADMT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=ADMT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();