Insight Molecular Diagnostics (IMDX) Depreciation and Depletion (2015 - 2023)
Insight Molecular Diagnostics' Depreciation and Depletion came in at $404,000 for Q3 2023, up 3.3% from $391,000 a year earlier but down 7.1% from the prior quarter.
Insight Molecular Diagnostics (IMDX) Depreciation and Depletion (2015 - 2023) Analysis & Trends
Over the trailing twelve months to Sep 30, 2023, Insight Molecular Diagnostics reported Depreciation and Depletion of $1.76 million, up 32.6% year-over-year; for FY2022, it was $1.53 million, up 81.0% from FY2021.
- Depreciation and Depletion carries a five-year compound annual growth rate of 35.2% (FY2017 to FY2022).
- Going back by year, Depreciation and Depletion was $844,000 in FY2021 (+169.6%), $313,000 in FY2020 (-9.0%), $344,000 in FY2019 (-21.5%) and $438,000 in FY2018 (+29.6%).
- The five-year range for quarterly Depreciation and Depletion is -$216,000 (Q4 2020) to $466,000 (Q4 2022).
- Year-over-year, Depreciation and Depletion has increased for seven consecutive quarters, with growth averaging 61.2% over the last seven quarters.
- The fastest year-over-year change in Depreciation and Depletion over five years came in Q3 2021 (growth of 269.6%), and the weakest in Q4 2019 (a decline of 45.5%).
- Business Quant data shows IMDX's Depreciation and Depletion at $435,000 (Q2 2023), $450,000 (Q1 2023) and $466,000 (Q4 2022) in the three quarters before Q3 2023.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn | 331.00 Mn |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn | 402.00 Mn |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn | 196.00 Mn |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn | - |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn | 317.00 Mn |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn | 121.00 Mn |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn | 122.00 Mn |
| 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
| Date | Value |
|---|---|
| Sep 30, 2023 | 404,000.00 |
| Jun 30, 2023 | 435,000.00 |
| Mar 31, 2023 | 450,000.00 |
| Dec 31, 2022 | 466,000.00 |
| Sep 30, 2022 | 391,000.00 |
| Jun 30, 2022 | 384,000.00 |
| Mar 31, 2022 | 287,000.00 |
| Dec 31, 2021 | 262,000.00 |
| Sep 30, 2021 | 255,000.00 |
| Jun 30, 2021 | 206,000.00 |
| Mar 31, 2021 | 121,000.00 |
| Dec 31, 2020 | -216,000.00 |
| Sep 30, 2020 | 69,000.00 |
| Jun 30, 2020 | 67,000.00 |
| Mar 31, 2020 | 60,000.00 |
| Dec 31, 2019 | 66,000.00 |
| Sep 30, 2019 | 84,000.00 |
| Jun 30, 2019 | 84,000.00 |
| Mar 31, 2019 | 110,000.00 |
| Dec 31, 2018 | 121,000.00 |
Insight Molecular Diagnostics Depreciation and Depletion 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=depreciation-and-depletion&ticker=IMDX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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=depreciation-and-depletion&ticker=IMDX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();