Insight Molecular Diagnostics (IMDX) Capital Expenditures (2015 - 2026)
Insight Molecular Diagnostics' Capital Expenditures came in at $779,000 for Q2 2026, up 123.2% from $349,000 a year earlier and up 27.1% from the prior quarter.
Insight Molecular Diagnostics (IMDX) Capital Expenditures (2015 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Insight Molecular Diagnostics reported Capital Expenditures of $3.92 million, up 309.7% year-over-year; for FY2025, it was $3.19 million, up 517.2% from FY2024.
- Capital Expenditures carries a five-year compound annual growth rate of 21.0% (FY2020 to FY2025).
- Going back by year, Capital Expenditures was $516,000 in FY2024 (+83.6%), $281,000 in FY2023 (-93.5%), $4.34 million in FY2022 (+93.1%) and $2.25 million in FY2021 (+83.1%).
- The five-year range for quarterly Capital Expenditures is -$564,000 (Q3 2023) to $1.56 million (Q1 2022).
- Year-over-year, Capital Expenditures has increased for three consecutive quarters, with growth averaging 175.6% over the last five quarters.
- The fastest year-over-year change in Capital Expenditures over five years came in Q4 2025 (growth of 591.1%), and the weakest in Q4 2023 (a decline of 67.1%).
- Business Quant data shows IMDX's Capital Expenditures at $613,000 (Q1 2026), $1.48 million (Q4 2025) and $1.05 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 450.00 Mn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 497.00 Mn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 269.00 Mn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | 112.60 Mn |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 503.00 Mn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 202.00 Mn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 195.00 Mn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 66.90 Mn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 143.00 Mn |
| 10 | Insight Molecular Diagnostics | 110.27 Mn | 33.98 Mn | 157,000.00 | 779,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 779,000.00 |
| Mar 31, 2026 | 613,000.00 |
| Dec 31, 2025 | 1.48 Mn |
| Sep 30, 2025 | 1.05 Mn |
| Jun 30, 2025 | 349,000.00 |
| Mar 31, 2025 | 307,000.00 |
| Dec 31, 2024 | 214,000.00 |
| Sep 30, 2024 | 87,000.00 |
| Jun 30, 2024 | 191,000.00 |
| Mar 31, 2024 | 24,000.00 |
| Dec 31, 2023 | 264,000.00 |
| Sep 30, 2023 | -564,000.00 |
| Dec 31, 2022 | 802,000.00 |
| Sep 30, 2022 | 859,000.00 |
| Jun 30, 2022 | 1.12 Mn |
| Mar 31, 2022 | 1.56 Mn |
| Dec 31, 2021 | 401,000.00 |
| Sep 30, 2021 | 394,000.00 |
| Jun 30, 2021 | 610,000.00 |
| Mar 31, 2021 | 842,000.00 |
Insight Molecular Diagnostics Capital Expenditures 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=capital-expenditures&ticker=IMDX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=IMDX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();