LogicMark (LGMK) Accounts Payables (2013 - 2026)
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Analysis
LogicMark (LGMK) Accounts Payables (2013 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Accounts Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 241.25 Bn | 220.40 Bn | 4.88 Bn | 3.27 Bn |
| 2 | Abbott Laboratories | 167.33 Bn | 138.41 Bn | 7.27 Bn | 4.79 Bn |
| 3 | Danaher | 148.83 Bn | 132.65 Bn | 3.61 Bn | 1.82 Bn |
| 4 | Intuitive Surgical | 142.00 Bn | 121.55 Bn | 1.96 Bn | 277.20 Mn |
| 5 | Medtronic | 110.70 Bn | 76.57 Bn | 6.34 Bn | 2.70 Bn |
| 6 | Stryker | 104.72 Bn | 90.84 Bn | 4.50 Bn | 1.66 Bn |
| 7 | Boston Scientific | 62.66 Bn | 57.67 Bn | 3.85 Bn | 1.23 Bn |
| 8 | Edwards Lifesciences | 49.13 Bn | 33.24 Bn | 1.35 Bn | 210.50 Mn |
| 9 | Becton Dickinson | 48.51 Bn | 45.66 Bn | 2.32 Bn | 6.11 Bn |
| 10 | LogicMark | 989,734.92 | -26.70 Mn | 2.37 Mn | 464,172.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 464,172.00 |
| Mar 31, 2026 | 344,637.00 |
| Dec 31, 2025 | 563,990.00 |
| Sep 30, 2025 | 657,755.00 |
| Jun 30, 2025 | 619,565.00 |
| Mar 31, 2025 | 962,129.00 |
| Dec 31, 2024 | 750,336.00 |
| Sep 30, 2024 | 549,126.00 |
| Jun 30, 2024 | 796,815.00 |
| Mar 31, 2024 | 760,283.00 |
| Dec 31, 2023 | 901,624.00 |
| Sep 30, 2023 | 715,838.00 |
| Jun 30, 2023 | 446,692.00 |
| Mar 31, 2023 | 521,283.00 |
| Dec 31, 2022 | 673,052.00 |
| Sep 30, 2022 | 1.33 Mn |
| Jun 30, 2022 | 788,511.00 |
| Mar 31, 2022 | 1.06 Mn |
| Dec 31, 2021 | 492,431.00 |
| Sep 30, 2021 | 1.23 Mn |
API Access
LogicMark Accounts Payables 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=accounts-payables&ticker=LGMK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accounts-payables", "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=accounts-payables&ticker=LGMK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();