Insight Molecular Diagnostics (IMDX) Other Accumulated Expenses (2016 - 2026)
Insight Molecular Diagnostics (IMDX) recorded Other Accumulated Expenses of $1.98 million in Q2 2026, up 77.3% from $1.12 million a year earlier but down 27.7% from the prior quarter.
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Analysis
Insight Molecular Diagnostics (IMDX) Other Accumulated Expenses (2016 - 2026) Analysis & Trends
At the end of FY2025, Insight Molecular Diagnostics reported Other Accumulated Expenses of $2.78 million, up 149.1% from FY2024.
- Annual Other Accumulated Expenses has a five-year compound annual growth rate of 11.7% (FY2020 to FY2025).
- Across earlier years, Other Accumulated Expenses came in at $1.12 million in FY2024 (unchanged), $1.12 million in FY2023 (-44.8%) and $2.02 million in FY2022.
- Quarterly Other Accumulated Expenses has ranged from $1.12 million in Q3 2023 to $2.78 million in Q4 2025 over the past five years.
- On a year-over-year basis, Other Accumulated Expenses has increased for four consecutive quarters, with growth averaging 46.5% over the last eight quarters.
- Peak year-over-year performance for Other Accumulated Expenses in the last five years was growth of 149.1% in Q4 2025, against a decline of 44.8% in Q4 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $2.74 million (Q1 2026), $2.78 million (Q4 2025) and $1.12 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn |
| 10 | Insight Molecular Diagnostics | 112.22 Mn | 35.94 Mn | 157,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.98 Mn |
| Mar 31, 2026 | 2.74 Mn |
| Dec 31, 2025 | 2.78 Mn |
| Sep 30, 2025 | 1.12 Mn |
| Jun 30, 2025 | 1.12 Mn |
| Mar 31, 2025 | 1.12 Mn |
| Dec 31, 2024 | 1.12 Mn |
| Sep 30, 2024 | 1.12 Mn |
| Jun 30, 2024 | 1.12 Mn |
| Mar 31, 2024 | 1.12 Mn |
| Dec 31, 2023 | 1.12 Mn |
| Sep 30, 2023 | 1.12 Mn |
| Dec 31, 2022 | 2.02 Mn |
| Mar 31, 2021 | 2.81 Mn |
| Dec 31, 2020 | 1.60 Mn |
| Sep 30, 2020 | 636,000.00 |
| Jun 30, 2020 | 743,000.00 |
| Mar 31, 2020 | 1.18 Mn |
| Dec 31, 2019 | 1.32 Mn |
| Sep 30, 2019 | 1.05 Mn |
API Access
Insight Molecular Diagnostics Other Accumulated Expenses 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-accumulated-expenses&ticker=IMDX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "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-accumulated-expenses&ticker=IMDX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();