Insight Molecular Diagnostics (IMDX) Operating Expenses (2015 - 2026)
Insight Molecular Diagnostics (IMDX) recorded Operating Expenses of $11.56 million in Q2 2026, up 13.5% from $10.18 million a year earlier and up 161.0% from the prior quarter.
Insight Molecular Diagnostics (IMDX) Operating Expenses (2015 - 2026) Analysis & Trends
On a TTM basis, Insight Molecular Diagnostics' Operating Expenses came in at $51.11 million as of Jun 30, 2026, down 22.7% year-over-year; for FY2025, it came in at $53.42 million, down 13.5% from FY2024.
- Annual Operating Expenses has a five-year compound annual growth rate of 12.9% (FY2020 to FY2025).
- Across earlier years, Operating Expenses came in at $61.78 million in FY2024 (+141.8%), $25.55 million in FY2023 (+42.1%), $17.98 million in FY2022 (-67.4%) and $55.15 million in FY2021 (+89.7%).
- Quarterly Operating Expenses has ranged from -$5.84 million in Q1 2023 to $34.22 million in Q4 2024 over the past five years.
- On a year-over-year basis, Operating Expenses rose in four of the last eight quarters, with growth averaging 29.9%.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 417.0% in Q2 2023, against a decline of 88.7% in Q3 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $4.43 million (Q1 2026), $23.93 million (Q4 2025) and $11.19 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | 9.91 Bn |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | 10.90 Bn |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 2.48 Bn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | 988.50 Mn |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 4.06 Bn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 2.84 Bn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 2.67 Bn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | 4.32 Bn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 840.10 Mn |
| 10 | Insight Molecular Diagnostics | 103.74 Mn | 27.46 Mn | 157,000.00 | 11.56 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 11.56 Mn |
| Mar 31, 2026 | 4.43 Mn |
| Dec 31, 2025 | 23.93 Mn |
| Sep 30, 2025 | 11.19 Mn |
| Jun 30, 2025 | 10.18 Mn |
| Mar 31, 2025 | 8.12 Mn |
| Dec 31, 2024 | 34.22 Mn |
| Sep 30, 2024 | 13.57 Mn |
| Jun 30, 2024 | 4.68 Mn |
| Mar 31, 2024 | 9.31 Mn |
| Dec 31, 2023 | 16.06 Mn |
| Sep 30, 2023 | 6.76 Mn |
| Jun 30, 2023 | 8.57 Mn |
| Mar 31, 2023 | -5.84 Mn |
| Dec 31, 2022 | 11.62 Mn |
| Sep 30, 2022 | 1.44 Mn |
| Jun 30, 2022 | 1.66 Mn |
| Mar 31, 2022 | 3.26 Mn |
| Dec 31, 2021 | 17.79 Mn |
| Sep 30, 2021 | 12.74 Mn |
Insight Molecular Diagnostics Operating 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=operating-expenses&ticker=IMDX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=IMDX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();