Gyre Therapeutics (GYRE) Total Non-Current Liabilities (2014 - 2026)
Gyre Therapeutics (GYRE) posted Total Non-Current Liabilities of $54.03 million for Q2 2026, down 39.9% from $89.84 million a year earlier and down 53.4% from the prior quarter.
Gyre Therapeutics (GYRE) Total Non-Current Liabilities (2014 - 2026) Analysis & Trends
At the end of FY2025, Gyre Therapeutics' Total Non-Current Liabilities came in at $154.31 million, up 83.8% from FY2024.
- Annual Total Non-Current Liabilities shows a three-year compound annual growth rate of 131.2% (FY2022 to FY2025).
- In prior years, Gyre Therapeutics' Total Non-Current Liabilities was $83.95 million in FY2024 (-6.5%), $89.76 million in FY2023 (+619.1%) and $12.48 million in FY2022.
- Quarterly Total Non-Current Liabilities has run from a low of $12.48 million in Q4 2022 to a high of $154.31 million in Q4 2025 over five years.
- On a year-over-year basis, Total Non-Current Liabilities increased in four of the last seven quarters, with growth averaging 88.4%.
- The strongest year-over-year quarter for Total Non-Current Liabilities in the past five years was Q4 2023, with growth of 619.1%; the weakest was Q2 2026, with a decline of 39.9%.
- According to Business Quant data, Total Non-Current Liabilities for the three prior quarters was $116.06 million (Q1 2026), $154.31 million (Q4 2025) and $18.75 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 105.99 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 106.45 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 80.25 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | 48.34 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | -967.00 Mn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 81.11 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 36.04 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 100.86 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 5.92 Bn |
| 10 | Gyre Therapeutics | 777.23 Mn | 579.94 Mn | 26.90 Mn | 54.03 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 54.03 Mn |
| Mar 31, 2026 | 116.06 Mn |
| Dec 31, 2025 | 154.31 Mn |
| Sep 30, 2025 | 18.75 Mn |
| Jun 30, 2025 | 89.84 Mn |
| Mar 31, 2025 | 85.70 Mn |
| Dec 31, 2024 | 83.95 Mn |
| Sep 30, 2024 | 20.90 Mn |
| Jun 30, 2024 | 21.95 Mn |
| Mar 31, 2024 | 24.69 Mn |
| Dec 31, 2023 | 89.76 Mn |
| Dec 31, 2022 | 12.48 Mn |
| Dec 31, 2018 | 4.80 Mn |
| Sep 30, 2018 | 3.30 Mn |
| Jun 30, 2018 | 2.44 Mn |
| Mar 31, 2018 | 2.90 Mn |
| Dec 31, 2017 | 8.74 Mn |
| Dec 31, 2016 | 22.01 Mn |
| Sep 30, 2016 | 31.99 Mn |
| Jun 30, 2016 | 33.71 Mn |
Gyre 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=GYRE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "GYRE", "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=GYRE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();