Insight Molecular Diagnostics (IMDX) Total Non-Current Liabilities (2019 - 2026)
Insight Molecular Diagnostics (IMDX) reported Total Non-Current Liabilities of $11.2 million for Q2 2026, up 32.0% from $8.49 million a year earlier but down 15.9% from the prior quarter.
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Analysis
Insight Molecular Diagnostics (IMDX) Total Non-Current Liabilities (2019 - 2026) Analysis & Trends
At the end of FY2025, Insight Molecular Diagnostics posted Total Non-Current Liabilities of $13.77 million, up 42.7% from FY2024.
- Total Non-Current Liabilities has a five-year compound annual growth rate of -1.5% (FY2020 to FY2025).
- By year, Total Non-Current Liabilities came in at $9.64 million in FY2024 (-33.6%), $14.52 million in FY2023 (-27.9%), $20.14 million in FY2022 (+14.0%) and $17.67 million in FY2021 (+19.2%).
- Five-year quarterly Total Non-Current Liabilities spans a low of $8.49 million in Q2 2025 and a high of $22.14 million in Q2 2022.
- Year over year, Total Non-Current Liabilities has now increased in each of the last three quarters, with an average decline of 4.8% over the last eight quarters.
- The high point for year-over-year Total Non-Current Liabilities in five years was Q3 2021 (growth of 44.2%); the low point was Q4 2024 (a decline of 33.6%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $13.31 million (Q1 2026), $13.77 million (Q4 2025) and $9.19 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 55.95 Bn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | - |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 33.25 Bn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | - |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 40.46 Bn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 21.28 Bn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 17.56 Bn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 2.57 Bn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 23.92 Bn |
| 10 | Insight Molecular Diagnostics | 110.27 Mn | 33.98 Mn | 157,000.00 | 11.20 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 11.20 Mn |
| Mar 31, 2026 | 13.31 Mn |
| Dec 31, 2025 | 13.77 Mn |
| Sep 30, 2025 | 9.19 Mn |
| Jun 30, 2025 | 8.49 Mn |
| Mar 31, 2025 | 11.76 Mn |
| Dec 31, 2024 | 9.64 Mn |
| Sep 30, 2024 | 11.80 Mn |
| Jun 30, 2024 | 9.84 Mn |
| Mar 31, 2024 | 16.17 Mn |
| Dec 31, 2023 | 14.52 Mn |
| Sep 30, 2023 | 16.73 Mn |
| Jun 30, 2023 | 14.79 Mn |
| Mar 31, 2023 | 17.51 Mn |
| Dec 31, 2022 | 20.14 Mn |
| Sep 30, 2022 | 20.96 Mn |
| Jun 30, 2022 | 22.14 Mn |
| Mar 31, 2022 | 17.28 Mn |
| Dec 31, 2021 | 17.67 Mn |
| Sep 30, 2021 | 17.32 Mn |
API Access
Insight Molecular Diagnostics 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=IMDX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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=total-non-current-liabilities&ticker=IMDX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();