Aurinia Pharmaceuticals (AUPH) Total Liabilities (2017 - 2026)
Aurinia Pharmaceuticals' Total Liabilities came in at $177.4 million for Q2 2026, up 6.1% from $167.26 million a year earlier and up 13.4% from the prior quarter.
Powered by 
Analysis
Aurinia Pharmaceuticals (AUPH) Total Liabilities (2017 - 2026) Analysis & Trends
At the end of FY2025, Aurinia Pharmaceuticals' Total Liabilities was $170.26 million, down 1.7% from FY2024.
- Total Liabilities carries a five-year compound annual growth rate of 24.9% (FY2020 to FY2025).
- Going back by year, Total Liabilities was $173.17 million in FY2024 (+1.8%), $170.11 million in FY2023 (+160.0%), $65.43 million in FY2022 (+1.8%) and $64.28 million in FY2021 (+15.0%).
- The Q2 2026 figure represents the highest quarterly Total Liabilities in data going back to Q4 2017.
- Year-over-year, Total Liabilities increased in five of the last eight quarters, with growth averaging 1.3%.
- The fastest year-over-year change in Total Liabilities over five years came in Q2 2023 (growth of 168.3%), and the weakest in Q4 2025 (a decline of 1.7%).
- Business Quant data shows AUPH's Total Liabilities at $156.37 million (Q1 2026), $170.26 million (Q4 2025) and $161.76 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 116.09 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 141.05 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 87.82 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 80.09 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 65.46 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 83.95 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 37.53 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 115.64 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 7.18 Bn |
| 10 | Aurinia Pharmaceuticals | 2.20 Bn | 623.91 Mn | 76.67 Mn | 177.40 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 177.40 Mn |
| Mar 31, 2026 | 156.37 Mn |
| Dec 31, 2025 | 170.26 Mn |
| Sep 30, 2025 | 161.76 Mn |
| Jun 30, 2025 | 167.26 Mn |
| Mar 31, 2025 | 154.66 Mn |
| Dec 31, 2024 | 173.17 Mn |
| Sep 30, 2024 | 161.36 Mn |
| Jun 30, 2024 | 158.91 Mn |
| Mar 31, 2024 | 157.16 Mn |
| Dec 31, 2023 | 170.11 Mn |
| Sep 30, 2023 | 163.14 Mn |
| Jun 30, 2023 | 156.61 Mn |
| Mar 31, 2023 | 61.35 Mn |
| Dec 31, 2022 | 65.43 Mn |
| Sep 30, 2022 | 64.87 Mn |
| Jun 30, 2022 | 58.38 Mn |
| Mar 31, 2022 | 58.78 Mn |
| Dec 31, 2021 | 64.28 Mn |
| Sep 30, 2021 | 61.89 Mn |
API Access
Aurinia Pharmaceuticals Total 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-liabilities&ticker=AUPH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "AUPH", "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-liabilities&ticker=AUPH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();