Insight Molecular Diagnostics (IMDX) Total Liabilities (2015 - 2026)
Insight Molecular Diagnostics (IMDX) recorded Total Liabilities of $50.74 million in Q2 2026, up 2.7% from $49.42 million a year earlier but down 0.7% from the prior quarter.
Insight Molecular Diagnostics (IMDX) Total Liabilities (2015 - 2026) Analysis & Trends
At the end of FY2025, Insight Molecular Diagnostics reported Total Liabilities of $57.22 million, up 20.8% from FY2024.
- Annual Total Liabilities has a five-year compound annual growth rate of 21.1% (FY2020 to FY2025).
- Across earlier years, Total Liabilities came in at $47.36 million in FY2024 (-13.0%), $54.42 million in FY2023 (-17.3%), $65.8 million in FY2022 (-30.3%) and $94.35 million in FY2021 (+330.1%).
- Quarterly Total Liabilities has ranged from $43.94 million in Q2 2023 to $94.35 million in Q4 2021 over the past five years.
- On a year-over-year basis, Total Liabilities has increased for three consecutive quarters, with growth averaging 1.6% over the last eight quarters.
- Peak year-over-year performance for Total Liabilities in the last five years was growth of 330.1% in Q4 2021, against a decline of 50.0% in Q2 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $51.12 million (Q1 2026), $57.22 million (Q4 2025) and $53.13 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | 60.49 Bn |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | 57.45 Bn |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 39.78 Bn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | 2.58 Bn |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 42.46 Bn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 23.94 Bn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 20.04 Bn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | 26.32 Bn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 3.14 Bn |
| 10 | Insight Molecular Diagnostics | 103.74 Mn | 27.46 Mn | 157,000.00 | 50.74 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 50.74 Mn |
| Mar 31, 2026 | 51.12 Mn |
| Dec 31, 2025 | 57.22 Mn |
| Sep 30, 2025 | 53.13 Mn |
| Jun 30, 2025 | 49.42 Mn |
| Mar 31, 2025 | 50.14 Mn |
| Dec 31, 2024 | 47.36 Mn |
| Sep 30, 2024 | 60.51 Mn |
| Jun 30, 2024 | 52.02 Mn |
| Mar 31, 2024 | 59.39 Mn |
| Dec 31, 2023 | 54.42 Mn |
| Sep 30, 2023 | 45.44 Mn |
| Jun 30, 2023 | 43.94 Mn |
| Mar 31, 2023 | 44.87 Mn |
| Dec 31, 2022 | 65.80 Mn |
| Sep 30, 2022 | 80.49 Mn |
| Jun 30, 2022 | 87.81 Mn |
| Mar 31, 2022 | 89.31 Mn |
| Dec 31, 2021 | 94.35 Mn |
| Sep 30, 2021 | 68.99 Mn |
Insight Molecular Diagnostics Total 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-liabilities&ticker=IMDX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=IMDX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();