Gain Therapeutics (GANX) Total Non-Current Liabilities (2020 - 2026)
Gain Therapeutics (GANX) recorded Total Non-Current Liabilities of $696,043 in Q2 2026, down 26.0% from $940,886 a year earlier and down 17.6% from the prior quarter.
Gain Therapeutics (GANX) Total Non-Current Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Gain Therapeutics reported Total Non-Current Liabilities of $901,831, up 3.3% from FY2024.
- Annual Total Non-Current Liabilities has a five-year compound annual growth rate of -6.9% (FY2020 to FY2025).
- Across earlier years, Total Non-Current Liabilities came in at $872,989 in FY2024 (-19.3%), $1.08 million in FY2023 (-1.2%), $1.09 million in FY2022 (-32.2%) and $1.61 million in FY2021 (+25.4%).
- The Q2 2026 figure is the lowest quarterly Total Non-Current Liabilities in data going back to Q4 2020.
- On a year-over-year basis, Total Non-Current Liabilities rose in four of the last eight quarters, with an average decline of 6.9%.
- Peak year-over-year performance for Total Non-Current Liabilities in the last five years was growth of 25.4% in Q4 2021, against a decline of 43.8% in Q2 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $844,913 (Q1 2026), $901,831 (Q4 2025) and $891,648 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,131.24 Bn | 1,099.82 Bn | 19.71 Bn | 60.66 Bn |
| 2 | Johnson & Johnson | 614.68 Bn | 533.21 Bn | 17.26 Bn | 105.50 Bn |
| 3 | AbbVie | 503.28 Bn | 476.39 Bn | 12.70 Bn | 106.45 Bn |
| 4 | Merck | 368.01 Bn | 322.38 Bn | 12.21 Bn | 80.25 Bn |
| 5 | Novartis Ag | 298.43 Bn | 262.42 Bn | 11.24 Bn | 48.34 Bn |
| 6 | Astrazeneca | 261.67 Bn | 235.36 Bn | 12.86 Bn | 33.91 Bn |
| 7 | Amgen | 236.03 Bn | 191.43 Bn | 7.24 Bn | 78.66 Bn |
| 8 | Gilead Sciences | 190.92 Bn | 165.12 Bn | 6.22 Bn | 35.10 Bn |
| 9 | Pfizer | 169.80 Bn | 116.45 Bn | 10.94 Bn | 97.04 Bn |
| 10 | Gain Therapeutics | 49.95 Mn | -9.33 Mn | - | 696,043.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 696,043.00 |
| Mar 31, 2026 | 844,913.00 |
| Dec 31, 2025 | 901,831.00 |
| Sep 30, 2025 | 891,648.00 |
| Jun 30, 2025 | 940,886.00 |
| Mar 31, 2025 | 815,921.00 |
| Dec 31, 2024 | 872,989.00 |
| Sep 30, 2024 | 861,487.00 |
| Jun 30, 2024 | 888,465.00 |
| Mar 31, 2024 | 930,987.00 |
| Dec 31, 2023 | 1.08 Mn |
| Sep 30, 2023 | 1.00 Mn |
| Jun 30, 2023 | 1.58 Mn |
| Mar 31, 2023 | 1.03 Mn |
| Dec 31, 2022 | 1.09 Mn |
| Sep 30, 2022 | 1.33 Mn |
| Jun 30, 2022 | 1.46 Mn |
| Mar 31, 2022 | 1.55 Mn |
| Dec 31, 2021 | 1.61 Mn |
| Sep 30, 2021 | 1.44 Mn |
Gain Therapeutics 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=GANX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "GANX", "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=GANX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();