LogicMark (LGMK) Inventory (2013 - 2026)
LogicMark (LGMK) recorded Inventory of $1.19 million in Q2 2026, up 51.1% from $790,183 a year earlier but down 35.2% from the prior quarter.
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Analysis
LogicMark (LGMK) Inventory (2013 - 2026) Analysis & Trends
At the end of FY2025, LogicMark reported Inventory of $1.4 million, up 33.5% from FY2024.
- Annual Inventory has a five-year compound annual growth rate of 12.8% (FY2020 to FY2025).
- Across earlier years, Inventory came in at $1.05 million in FY2024 (-10.9%), $1.18 million in FY2023 (-32.5%), $1.75 million in FY2022 (+41.1%) and $1.24 million in FY2021 (+61.2%).
- Quarterly Inventory has ranged from $622,893 in Q2 2022 to $1.84 million in Q1 2026 over the past five years.
- On a year-over-year basis, Inventory has increased for five consecutive quarters, with growth averaging 29.4% over the last eight quarters.
- Peak year-over-year performance for Inventory in the last five years was growth of 167.0% in Q1 2026, against a decline of 32.5% in Q4 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $1.84 million (Q1 2026), $1.4 million (Q4 2025) and $1.05 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.06 Bn | 229.21 Bn | 4.88 Bn | 5.63 Bn |
| 2 | Abbott Laboratories | 177.62 Bn | 148.71 Bn | 7.27 Bn | 7.32 Bn |
| 3 | Danaher | 161.58 Bn | 145.40 Bn | 3.61 Bn | 3.26 Bn |
| 4 | Intuitive Surgical | 153.84 Bn | 134.26 Bn | 2.08 Bn | 2.13 Bn |
| 5 | Medtronic | 123.63 Bn | 89.50 Bn | 6.34 Bn | 6.22 Bn |
| 6 | Stryker | 117.79 Bn | 103.90 Bn | 4.50 Bn | 5.52 Bn |
| 7 | Boston Scientific | 66.71 Bn | 61.72 Bn | 3.85 Bn | 3.24 Bn |
| 8 | Becton Dickinson | 54.60 Bn | 51.75 Bn | 2.32 Bn | 3.32 Bn |
| 9 | Edwards Lifesciences | 51.95 Bn | 36.07 Bn | 1.35 Bn | 1.13 Bn |
| 10 | LogicMark | 1.17 Mn | -26.52 Mn | 2.37 Mn | 1.19 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.19 Mn |
| Mar 31, 2026 | 1.84 Mn |
| Dec 31, 2025 | 1.40 Mn |
| Sep 30, 2025 | 1.05 Mn |
| Jun 30, 2025 | 790,183.00 |
| Mar 31, 2025 | 689,545.00 |
| Dec 31, 2024 | 1.05 Mn |
| Sep 30, 2024 | 818,717.00 |
| Jun 30, 2024 | 678,537.00 |
| Mar 31, 2024 | 886,876.00 |
| Dec 31, 2023 | 1.18 Mn |
| Sep 30, 2023 | 1.14 Mn |
| Jun 30, 2023 | 987,219.00 |
| Mar 31, 2023 | 1.13 Mn |
| Dec 31, 2022 | 1.75 Mn |
| Sep 30, 2022 | 1.08 Mn |
| Jun 30, 2022 | 622,893.00 |
| Mar 31, 2022 | 876,084.00 |
| Dec 31, 2021 | 1.24 Mn |
| Sep 30, 2021 | 912,889.00 |
API Access
LogicMark Inventory 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=inventory&ticker=LGMK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "ticker": "LGMK", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=inventory&ticker=LGMK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();