Aurinia Pharmaceuticals (AUPH) Total Non-Current Liabilities (2019 - 2026)
Aurinia Pharmaceuticals' Total Non-Current Liabilities was $176.45 million in Q2 2026, up 13.7% from $155.23 million a year earlier and up 18.1% from the prior quarter.
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Analysis
Aurinia Pharmaceuticals (AUPH) Total Non-Current Liabilities (2019 - 2026) Analysis & Trends
At the end of FY2025, Total Non-Current Liabilities at Aurinia Pharmaceuticals came in at $163.56 million, down 0.1% from FY2024.
- Total Non-Current Liabilities shows a five-year compound annual growth rate of 32.8% (FY2020 to FY2025).
- In earlier years, Total Non-Current Liabilities was $163.76 million in FY2024 (+2.9%), $159.2 million in FY2023 (+199.1%), $53.23 million in FY2022 (+10.3%) and $48.28 million in FY2021 (+21.9%).
- The Q2 2026 figure marks the highest quarterly Total Non-Current Liabilities in data going back to Q4 2019.
- Compared with a year earlier, Total Non-Current Liabilities was higher in four of the last eight quarters, with growth averaging 2.8%.
- The best year-over-year quarter for Total Non-Current Liabilities over five years was Q2 2023 (growth of 251.7%); the worst was Q3 2024 (a decline of 1.5%).
- Per Business Quant data, AUPH's Total Non-Current Liabilities in the three quarters before Q2 2026 was $149.47 million (Q1 2026), $163.56 million (Q4 2025) and $149.32 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 645.01 Bn | 563.54 Bn | 17.26 Bn | 105.99 Bn |
| 2 | AbbVie | 465.23 Bn | 438.39 Bn | 12.70 Bn | 106.45 Bn |
| 3 | Merck | 368.40 Bn | 322.83 Bn | 12.21 Bn | 80.25 Bn |
| 4 | Novartis Ag | 278.02 Bn | 233.89 Bn | 11.24 Bn | 48.34 Bn |
| 5 | Astrazeneca | 254.57 Bn | 228.13 Bn | 12.86 Bn | -967.00 Mn |
| 6 | Amgen | 229.02 Bn | 184.42 Bn | 7.24 Bn | 81.11 Bn |
| 7 | Gilead Sciences | 187.74 Bn | 161.85 Bn | 6.22 Bn | 36.04 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 100.86 Bn |
| 9 | Vertex Pharmaceuticals | 133.45 Bn | 105.45 Bn | 2.84 Bn | 5.92 Bn |
| 10 | Aurinia Pharmaceuticals | 2.18 Bn | 610.62 Mn | 76.67 Mn | 176.45 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 176.45 Mn |
| Mar 31, 2026 | 149.47 Mn |
| Dec 31, 2025 | 163.56 Mn |
| Sep 30, 2025 | 149.32 Mn |
| Jun 30, 2025 | 155.23 Mn |
| Mar 31, 2025 | 143.22 Mn |
| Dec 31, 2024 | 163.76 Mn |
| Sep 30, 2024 | 150.52 Mn |
| Jun 30, 2024 | 147.97 Mn |
| Mar 31, 2024 | 144.86 Mn |
| Dec 31, 2023 | 159.20 Mn |
| Sep 30, 2023 | 152.80 Mn |
| Jun 30, 2023 | 147.90 Mn |
| Mar 31, 2023 | 49.03 Mn |
| Dec 31, 2022 | 53.23 Mn |
| Sep 30, 2022 | 49.04 Mn |
| Jun 30, 2022 | 42.06 Mn |
| Mar 31, 2022 | 41.38 Mn |
| Dec 31, 2021 | 48.28 Mn |
| Sep 30, 2021 | 45.29 Mn |
API Access
Aurinia Pharmaceuticals 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=AUPH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=AUPH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();