Autolus Therapeutics (AUTL) Total Non-Current Liabilities (2020 - 2026)
Autolus Therapeutics' Total Non-Current Liabilities came in at $417.91 million for Q2 2026, up 11.7% from $374.04 million a year earlier.
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Analysis
Autolus Therapeutics (AUTL) Total Non-Current Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Autolus Therapeutics' Total Non-Current Liabilities was $410.46 million, up 15.6% from FY2024.
- Total Non-Current Liabilities has increased in each of the last five years, with a five-year compound annual growth rate of 37.3% (FY2020 to FY2025).
- Going back by year, Total Non-Current Liabilities was $354.97 million in FY2024 (+34.7%), $263.55 million in FY2023 (+37.6%), $191.48 million in FY2022 (+107.9%) and $92.11 million in FY2021 (+9.4%).
- The Q2 2026 figure represents the highest quarterly Total Non-Current Liabilities in data going back to Q4 2020.
- The year-over-year growth in Total Non-Current Liabilities has ranged between 9.4% (Q4 2021) and 123.0% (Q2 2023) over the last five years.
Peer Set
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 | Autolus Therapeutics | 688.78 Mn | -635.30 Mn | 25.22 Mn | 417.91 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 417.91 Mn |
| Dec 31, 2025 | 410.46 Mn |
| Sep 30, 2025 | 396.02 Mn |
| Jun 30, 2025 | 374.04 Mn |
| Mar 31, 2025 | 374.79 Mn |
| Dec 31, 2024 | 354.97 Mn |
| Sep 30, 2024 | 350.08 Mn |
| Jun 30, 2024 | 325.36 Mn |
| Mar 31, 2024 | 319.00 Mn |
| Dec 31, 2023 | 263.55 Mn |
| Sep 30, 2023 | 225.29 Mn |
| Jun 30, 2023 | 221.53 Mn |
| Mar 31, 2023 | 192.94 Mn |
| Dec 31, 2022 | 191.48 Mn |
| Sep 30, 2022 | 102.57 Mn |
| Jun 30, 2022 | 99.34 Mn |
| Mar 31, 2022 | 92.73 Mn |
| Dec 31, 2021 | 92.11 Mn |
| Dec 31, 2020 | 84.21 Mn |
API Access
Autolus 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=AUTL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "AUTL", "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=AUTL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();