ENDRA Life Sciences (NDRA) Total Non-Current Liabilities (2019 - 2026)
ENDRA Life Sciences' Total Non-Current Liabilities was $845,936 in Q2 2026, up 11.6% from $757,884 a year earlier and up 3.7% from the prior quarter.
ENDRA Life Sciences (NDRA) Total Non-Current Liabilities (2019 - 2026) Analysis & Trends
At the end of FY2025, Total Non-Current Liabilities at ENDRA Life Sciences came in at $842,721, down 34.5% from FY2024.
- Total Non-Current Liabilities shows a five-year compound annual growth rate of 6.7% (FY2020 to FY2025).
- In earlier years, Total Non-Current Liabilities was $1.29 million in FY2024 (+570.0%), $192,062 in FY2023 (-47.5%) and $365,919 in FY2022.
- Quarterly Total Non-Current Liabilities has moved between $98,421 (Q2 2024) and $1.29 million (Q4 2024) over five years.
- Compared with a year earlier, Total Non-Current Liabilities was higher in six of the last eight quarters, with growth averaging 250.7%.
- The best year-over-year quarter for Total Non-Current Liabilities over five years was Q2 2025 (growth of 670.0%); the worst was Q4 2023 (a decline of 47.5%).
- Per Business Quant data, NDRA's Total Non-Current Liabilities in the three quarters before Q2 2026 was $815,857 (Q1 2026), $842,721 (Q4 2025) and $992,421 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 257.72 Bn | 236.75 Bn | 4.88 Bn | 55.95 Bn |
| 2 | Abbott Laboratories | 171.89 Bn | 142.32 Bn | 7.27 Bn | - |
| 3 | Danaher | 162.78 Bn | 146.59 Bn | 3.61 Bn | 33.25 Bn |
| 4 | Intuitive Surgical | 152.59 Bn | 132.01 Bn | 1.96 Bn | - |
| 5 | Medtronic | 119.68 Bn | 84.93 Bn | 6.34 Bn | 38.93 Bn |
| 6 | Stryker | 114.12 Bn | 100.23 Bn | 4.50 Bn | 20.88 Bn |
| 7 | Boston Scientific | 65.64 Bn | 60.41 Bn | 3.85 Bn | 17.56 Bn |
| 8 | Becton Dickinson | 53.61 Bn | 50.76 Bn | 2.32 Bn | 23.92 Bn |
| 9 | Edwards Lifesciences | 50.94 Bn | 34.95 Bn | 1.35 Bn | 2.19 Bn |
| 10 | ENDRA Life Sciences | 6.13 Mn | 2.48 Mn | - | 845,936.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 845,936.00 |
| Mar 31, 2026 | 815,857.00 |
| Dec 31, 2025 | 842,721.00 |
| Sep 30, 2025 | 992,421.00 |
| Jun 30, 2025 | 757,884.00 |
| Mar 31, 2025 | 851,928.00 |
| Dec 31, 2024 | 1.29 Mn |
| Sep 30, 2024 | 960,379.00 |
| Jun 30, 2024 | 98,421.00 |
| Mar 31, 2024 | 145,825.00 |
| Dec 31, 2023 | 192,062.00 |
| Sep 30, 2023 | 237,163.00 |
| Dec 31, 2022 | 365,919.00 |
| Mar 31, 2021 | 280,829.00 |
| Dec 31, 2020 | 608,992.00 |
| Sep 30, 2020 | 627,573.00 |
| Jun 30, 2020 | 645,450.00 |
| Mar 31, 2020 | 325,804.00 |
| Dec 31, 2019 | 342,812.00 |
| Sep 30, 2019 | 358,915.00 |
ENDRA Life Sciences 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=NDRA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "NDRA", "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=NDRA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();