Glucotrack (GCTK) Total Liabilities (2010 - 2026)
Glucotrack (GCTK) posted Total Liabilities of $3.24 million for Q2 2026, down 2.8% from $3.33 million a year earlier.
Analysis
Glucotrack (GCTK) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Glucotrack's Total Liabilities came in at $5.01 million, down 73.5% from FY2024.
- Annual Total Liabilities shows a five-year compound annual growth rate of 25.3% (FY2020 to FY2025).
- In prior years, Glucotrack's Total Liabilities was $18.93 million in FY2024, $1.71 million in FY2023 (+41.4%), $1.21 million in FY2022 (+8.8%) and $1.11 million in FY2021 (-31.7%).
- The Q2 2026 figure stands as the lowest quarterly Total Liabilities since Q1 2025.
- On a year-over-year basis, Total Liabilities increased in three of the last six quarters, with growth averaging 25.8%.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q2 2024, with growth of 214.5%; the weakest was Q4 2025, with a decline of 73.5%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 60.49 Bn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 57.45 Bn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 39.78 Bn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | 2.58 Bn |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 42.46 Bn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 23.94 Bn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 20.04 Bn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 3.14 Bn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 26.32 Bn |
| 10 | Glucotrack | 581,053.86 | -25.35 Mn | - | 3.24 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.24 Mn |
| Dec 31, 2025 | 5.01 Mn |
| Sep 30, 2025 | 5.54 Mn |
| Jun 30, 2025 | 3.33 Mn |
| Mar 31, 2025 | 2.35 Mn |
| Dec 31, 2024 | 18.93 Mn |
| Sep 30, 2024 | 4.85 Mn |
| Jun 30, 2024 | 3.90 Mn |
| Mar 31, 2024 | 1.73 Mn |
| Dec 31, 2023 | 1.71 Mn |
| Sep 30, 2023 | 1.64 Mn |
| Jun 30, 2023 | 1.24 Mn |
| Mar 31, 2023 | 1.24 Mn |
| Dec 31, 2022 | 1.21 Mn |
| Sep 30, 2022 | 1.16 Mn |
| Jun 30, 2022 | 1.13 Mn |
| Mar 31, 2022 | 1.13 Mn |
| Dec 31, 2021 | 1.11 Mn |
| Sep 30, 2021 | 1.13 Mn |
| Jun 30, 2021 | 1.32 Mn |
API Access
Glucotrack Total Liabilities 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=total-liabilities&ticker=GCTK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "GCTK", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=total-liabilities&ticker=GCTK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();