Exelixis (EXEL) Total Non-Current Liabilities (2010 - 2026)
Exelixis' Total Non-Current Liabilities was $527.86 million in Q2 2027, up 2.3% from $515.95 million a year earlier but down 2.3% from the prior quarter.
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Analysis
Exelixis (EXEL) Total Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2026, Total Non-Current Liabilities at Exelixis came in at $578.68 million, down 2.7% from FY2025.
- Total Non-Current Liabilities shows a five-year compound annual growth rate of 7.8% (FY2021 to FY2026).
- In earlier years, Total Non-Current Liabilities was $594.59 million in FY2025, $584.22 million in FY2023 (+13.5%) and $514.53 million in FY2022 (+29.4%).
- Quarterly Total Non-Current Liabilities has moved between $515.95 million (Q2 2026) and $594.59 million (Q4 2025) over five years.
- Compared with a year earlier, Total Non-Current Liabilities was higher in two of the last six quarters, with an average decline of 3.0%.
- Per Business Quant data, EXEL's Total Non-Current Liabilities in the three quarters before Q2 2027 was $540.52 million (Q1 2027), $578.68 million (Q4 2026) and $550.24 million (Q3 2026).
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 | Exelixis | 14.60 Bn | 10.93 Bn | 608.03 Mn | 527.86 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 3, 2026 | 527.86 Mn |
| Apr 3, 2026 | 540.52 Mn |
| Jan 2, 2026 | 578.68 Mn |
| Oct 3, 2025 | 550.24 Mn |
| Jul 4, 2025 | 515.95 Mn |
| Apr 4, 2025 | 586.23 Mn |
| Jan 3, 2025 | 594.59 Mn |
| Sep 27, 2024 | 588.79 Mn |
| Jun 28, 2024 | 543.72 Mn |
| Mar 29, 2024 | 574.48 Mn |
| Dec 29, 2023 | 584.22 Mn |
| Sep 29, 2023 | 567.67 Mn |
| Jun 30, 2023 | 541.04 Mn |
| Mar 31, 2023 | 520.84 Mn |
| Dec 30, 2022 | 514.53 Mn |
| Sep 30, 2022 | 468.06 Mn |
| Jul 1, 2022 | 472.75 Mn |
| Apr 1, 2022 | 347.75 Mn |
| Dec 31, 2021 | 397.60 Mn |
| Oct 1, 2021 | 331.20 Mn |
API Access
Exelixis 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=EXEL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "EXEL", "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=EXEL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();