Structure Therapeutics (GPCR) Total Non-Current Liabilities (2022 - 2026)
Structure Therapeutics (GPCR) posted Total Non-Current Liabilities of $69.75 million for Q2 2026, up 58.4% from $44.05 million a year earlier and up 15.9% from the prior quarter.
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Analysis
Structure Therapeutics (GPCR) Total Non-Current Liabilities (2022 - 2026) Analysis & Trends
At the end of FY2025, Structure Therapeutics' Total Non-Current Liabilities came in at $66.89 million, up 75.2% from FY2024.
- Annual Total Non-Current Liabilities shows a three-year compound annual growth rate of -32.0% (FY2022 to FY2025).
- In prior years, Structure Therapeutics' Total Non-Current Liabilities was $38.19 million in FY2024 (+33.7%), $28.55 million in FY2023 (-86.6%) and $212.99 million in FY2022.
- The Q2 2026 figure stands as the highest quarterly Total Non-Current Liabilities since Q4 2022.
- On a year-over-year basis, Total Non-Current Liabilities has increased in each of the last eight quarters, with growth averaging 58.0% over the last eight quarters.
- The strongest year-over-year quarter for Total Non-Current Liabilities in the past five years was Q4 2025, with growth of 75.2%; the weakest was Q4 2023, with a decline of 86.6%.
- According to Business Quant data, Total Non-Current Liabilities for the three prior quarters was $60.17 million (Q1 2026), $66.89 million (Q4 2025) and $61.82 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 105.99 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 106.45 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 80.25 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 48.34 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | -967.00 Mn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 81.11 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 36.04 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 100.86 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 5.92 Bn |
| 10 | Structure Therapeutics | 7.49 Bn | 7.49 Bn | - | 69.75 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 69.75 Mn |
| Mar 31, 2026 | 60.17 Mn |
| Dec 31, 2025 | 66.89 Mn |
| Sep 30, 2025 | 61.82 Mn |
| Jun 30, 2025 | 44.05 Mn |
| Mar 31, 2025 | 41.60 Mn |
| Dec 31, 2024 | 38.19 Mn |
| Sep 30, 2024 | 36.11 Mn |
| Jun 30, 2024 | 25.70 Mn |
| Mar 31, 2024 | 27.11 Mn |
| Dec 31, 2023 | 28.55 Mn |
| Sep 30, 2023 | 23.13 Mn |
| Dec 31, 2022 | 212.99 Mn |
API Access
Structure 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=GPCR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "GPCR", "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=GPCR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();