Glucotrack (GCTK) Total Non-Current Liabilities (2012 - 2025)
Glucotrack (GCTK) recorded Total Non-Current Liabilities of $5.01 million in Q4 2025, up 231.5% from $1.51 million a year earlier but down 9.5% from the prior quarter.
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Analysis
Glucotrack (GCTK) Total Non-Current Liabilities (2012 - 2025) Analysis & Trends
Starting with Q4 2012, Glucotrack's Total Non-Current Liabilities history includes 50 quarters.
- Annual Total Non-Current Liabilities has a five-year compound annual growth rate of 78.2% (FY2020 to FY2025).
- Across earlier years, Total Non-Current Liabilities came in at $1.51 million in FY2024 (-0.1%), $1.51 million in FY2023 (+675.4%), $195,000 in FY2022 (-14.1%) and $227,000 in FY2021 (-18.6%).
- Quarterly Total Non-Current Liabilities has ranged from $184,000 in Q3 2023 to $5.54 million in Q3 2025 over the past five years.
- On a year-over-year basis, Total Non-Current Liabilities rose in four of the last six quarters, with growth averaging 162.9%.
- Peak year-over-year performance for Total Non-Current Liabilities in the last five years was growth of 695.9% in Q1 2024, against a decline of 42.5% in Q1 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $5.54 million (Q3 2025), $3.33 million (Q2 2025) and $2.17 million (Q1 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 55.95 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | - |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 33.25 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | - |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 40.46 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 21.28 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 17.56 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 2.57 Bn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 23.92 Bn |
| 10 | Glucotrack | 547,659.96 | -25.38 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 5.01 Mn |
| Sep 30, 2025 | 5.54 Mn |
| Jun 30, 2025 | 3.33 Mn |
| Mar 31, 2025 | 2.17 Mn |
| Dec 31, 2024 | 1.51 Mn |
| Sep 30, 2024 | 4.65 Mn |
| Jun 30, 2024 | 3.71 Mn |
| Mar 31, 2024 | 1.54 Mn |
| Dec 31, 2023 | 1.51 Mn |
| Sep 30, 2023 | 184,000.00 |
| Jun 30, 2023 | 189,000.00 |
| Mar 31, 2023 | 193,000.00 |
| Dec 31, 2022 | 195,000.00 |
| Sep 30, 2022 | 191,000.00 |
| Jun 30, 2022 | 192,000.00 |
| Mar 31, 2022 | 212,000.00 |
| Dec 31, 2021 | 227,000.00 |
| Sep 30, 2021 | 234,000.00 |
| Jun 30, 2021 | 236,000.00 |
| Mar 31, 2021 | 231,000.00 |
API Access
Glucotrack Total Non-Current 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-non-current-liabilities&ticker=GCTK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=GCTK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();