Structure Therapeutics (GPCR) Total Current Liabilities (2022 - 2026)
Structure Therapeutics (GPCR) posted Total Current Liabilities of $66.11 million for Q2 2026, up 69.4% from $39.03 million a year earlier and up 16.0% from the prior quarter.
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Analysis
Structure Therapeutics (GPCR) Total Current Liabilities (2022 - 2026) Analysis & Trends
At the end of FY2025, Structure Therapeutics' Total Current Liabilities came in at $63.29 million, up 75.7% from FY2024.
- Annual Total Current Liabilities has increased for three consecutive years, with a three-year compound annual growth rate of 69.4% (FY2022 to FY2025).
- In prior years, Structure Therapeutics' Total Current Liabilities was $36.02 million in FY2024 (+45.6%), $24.74 million in FY2023 (+90.2%) and $13.01 million in FY2022.
- The Q2 2026 figure stands as the highest quarterly Total Current Liabilities in data going back to Q4 2022.
- On a year-over-year basis, Total Current Liabilities has increased in each of the last 11 quarters, with growth averaging 64.0% over the last eight quarters.
- Across the past five years, year-over-year growth in Total Current Liabilities ran from 45.6% in Q4 2024 to 114.4% in Q1 2024.
- According to Business Quant data, Total Current Liabilities for the three prior quarters was $56.98 million (Q1 2026), $63.29 million (Q4 2025) and $57.53 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 54.90 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 41.64 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 27.73 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 31.75 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | -31.55 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 25.50 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 11.02 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 32.65 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 3.94 Bn |
| 10 | Structure Therapeutics | 7.49 Bn | 7.49 Bn | - | 66.11 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 66.11 Mn |
| Mar 31, 2026 | 56.98 Mn |
| Dec 31, 2025 | 63.29 Mn |
| Sep 30, 2025 | 57.53 Mn |
| Jun 30, 2025 | 39.03 Mn |
| Mar 31, 2025 | 36.49 Mn |
| Dec 31, 2024 | 36.02 Mn |
| Sep 30, 2024 | 33.43 Mn |
| Jun 30, 2024 | 22.66 Mn |
| Mar 31, 2024 | 23.59 Mn |
| Dec 31, 2023 | 24.74 Mn |
| Sep 30, 2023 | 20.09 Mn |
| Jun 30, 2023 | 15.01 Mn |
| Mar 31, 2023 | 11.00 Mn |
| Dec 31, 2022 | 13.01 Mn |
API Access
Structure Therapeutics Total 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-current-liabilities&ticker=GPCR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-current-liabilities&ticker=GPCR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();