Insight Molecular Diagnostics (IMDX) Other Non-Current Liabilities (2019 - 2026)
Insight Molecular Diagnostics (IMDX) posted Other Non-Current Liabilities of $39.54 million for Q2 2026, down 3.4% from $40.93 million a year earlier but up 4.6% from the prior quarter.
Insight Molecular Diagnostics (IMDX) Other Non-Current Liabilities (2019 - 2026) Analysis & Trends
At the end of FY2025, Insight Molecular Diagnostics' Other Non-Current Liabilities came in at $43.46 million, up 15.2% from FY2024.
- Annual Other Non-Current Liabilities shows a five-year compound annual growth rate of 43.6% (FY2020 to FY2025).
- In prior years, Insight Molecular Diagnostics' Other Non-Current Liabilities was $37.71 million in FY2024 (-5.5%), $39.9 million in FY2023 (-12.6%), $45.66 million in FY2022 (-40.5%) and $76.68 million in FY2021 (+977.0%).
- Quarterly Other Non-Current Liabilities has run from a low of $27.36 million in Q1 2023 to a high of $76.68 million in Q4 2021 over five years.
- On a year-over-year basis, Other Non-Current Liabilities increased in two of the last eight quarters, with growth averaging 6.3%.
- The strongest year-over-year quarter for Other Non-Current Liabilities in the past five years was Q4 2021, with growth of 977.0%; the weakest was Q1 2023, with a decline of 62.0%.
- According to Business Quant data, Other Non-Current Liabilities for the three prior quarters was $37.81 million (Q1 2026), $43.46 million (Q4 2025) and $43.94 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn |
| 10 | Insight Molecular Diagnostics | 117.12 Mn | 40.83 Mn | 157,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 39.54 Mn |
| Mar 31, 2026 | 37.81 Mn |
| Dec 31, 2025 | 43.46 Mn |
| Sep 30, 2025 | 43.94 Mn |
| Jun 30, 2025 | 40.93 Mn |
| Mar 31, 2025 | 38.39 Mn |
| Dec 31, 2024 | 37.71 Mn |
| Sep 30, 2024 | 48.71 Mn |
| Jun 30, 2024 | 42.18 Mn |
| Mar 31, 2024 | 43.21 Mn |
| Dec 31, 2023 | 39.90 Mn |
| Sep 30, 2023 | 28.72 Mn |
| Jun 30, 2023 | 29.15 Mn |
| Mar 31, 2023 | 27.36 Mn |
| Dec 31, 2022 | 45.66 Mn |
| Sep 30, 2022 | 59.52 Mn |
| Jun 30, 2022 | 65.67 Mn |
| Mar 31, 2022 | 72.03 Mn |
| Dec 31, 2021 | 76.68 Mn |
| Sep 30, 2021 | 51.68 Mn |
Insight Molecular Diagnostics Other 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=other-non-current-liabilities&ticker=IMDX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-current-liabilities", "ticker": "IMDX", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=other-non-current-liabilities&ticker=IMDX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();