Adm Tronics Unlimited (ADMT) Total Non-Current Liabilities (2019 - 2026)
Adm Tronics Unlimited (ADMT) reported Total Non-Current Liabilities of $183,915 for fiscal Q1 2027 (quarter ended Jun 30, 2026), down 35.3% from $284,469 a year earlier and down 12.1% from the prior quarter.
Adm Tronics Unlimited (ADMT) Total Non-Current Liabilities (2019 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Adm Tronics Unlimited posted Total Non-Current Liabilities of $209,228, down 31.9% from FY2025.
- Total Non-Current Liabilities has declined for five consecutive fiscal years, with a five-year compound annual growth rate of -26.7% (FY2021 to FY2026).
- By fiscal year, Total Non-Current Liabilities came in at $307,377 in FY2025 (-4.7%), $322,402 in FY2024 (-21.5%), $410,474 in FY2023 (-18.4%) and $502,965 in FY2022 (-49.3%).
- The fiscal Q1 2027 figure ranks as the lowest quarterly Total Non-Current Liabilities since fiscal Q4 2019.
- Year over year, Total Non-Current Liabilities has now declined in each of the last 20 quarters, with an average decline of 19.9% over the last eight quarters.
- Across the past five years, year-over-year decline in Total Non-Current Liabilities ran from 2.4% in fiscal Q1 2025 to 49.3% in fiscal Q4 2022.
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $209,228 (Q4 2026), $233,851 (Q3 2026) and $261,273 (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 254.87 Bn | 233.89 Bn | 4.88 Bn | 55.95 Bn |
| 2 | Abbott Laboratories | 178.85 Bn | 149.28 Bn | 7.27 Bn | - |
| 3 | Danaher | 158.49 Bn | 142.30 Bn | 3.61 Bn | 33.25 Bn |
| 4 | Intuitive Surgical | 154.99 Bn | 134.41 Bn | 1.96 Bn | - |
| 5 | Medtronic | 121.02 Bn | 86.28 Bn | 6.34 Bn | 38.93 Bn |
| 6 | Stryker | 116.94 Bn | 103.05 Bn | 4.50 Bn | 20.88 Bn |
| 7 | Boston Scientific | 66.98 Bn | 61.75 Bn | 3.85 Bn | 17.56 Bn |
| 8 | Becton Dickinson | 53.23 Bn | 50.38 Bn | 2.32 Bn | 23.92 Bn |
| 9 | Edwards Lifesciences | 50.83 Bn | 34.83 Bn | 1.35 Bn | 2.19 Bn |
| 10 | Adm Tronics Unlimited | 2.70 Mn | 1.61 Mn | 395,050.00 | 183,915.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 183,915.00 |
| Mar 31, 2026 | 209,228.00 |
| Dec 31, 2025 | 233,851.00 |
| Sep 30, 2025 | 261,273.00 |
| Jun 30, 2025 | 284,469.00 |
| Mar 31, 2025 | 307,377.00 |
| Dec 31, 2024 | 331,160.00 |
| Sep 30, 2024 | 354,646.00 |
| Jun 30, 2024 | 378,842.00 |
| Mar 31, 2024 | 322,402.00 |
| Dec 31, 2023 | 343,926.00 |
| Sep 30, 2023 | 366,270.00 |
| Jun 30, 2023 | 388,337.00 |
| Mar 31, 2023 | 410,474.00 |
| Dec 31, 2022 | 429,874.00 |
| Sep 30, 2022 | 451,042.00 |
| Jun 30, 2022 | 464,195.00 |
| Mar 31, 2022 | 502,965.00 |
| Dec 31, 2021 | 523,260.00 |
| Sep 30, 2021 | 691,492.00 |
Adm Tronics Unlimited Total Non-Current 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-non-current-liabilities&ticker=ADMT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=ADMT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();