Scilex Holding (SCLX) Total Non-Current Liabilities (2020 - 2026)
Scilex Holding's Total Non-Current Liabilities came in at $531.86 million for Q2 2026, up 70.2% from $312.47 million a year earlier and up 1.9% from the prior quarter.
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Analysis
Scilex Holding (SCLX) Total Non-Current Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Scilex Holding's Total Non-Current Liabilities was $526.13 million, up 96.8% from FY2024.
- Total Non-Current Liabilities carries a five-year compound annual growth rate of 37.6% (FY2020 to FY2025).
- Going back by year, Total Non-Current Liabilities was $267.29 million in FY2024 (-1.5%), $271.35 million in FY2023 (+478.6%), $46.9 million in FY2022 (-82.4%) and $266.11 million in FY2021 (+149.9%).
- The Q2 2026 figure represents the highest quarterly Total Non-Current Liabilities in data going back to Q4 2020.
- Year-over-year, Total Non-Current Liabilities has increased for six consecutive quarters, with growth averaging 38.9% over the last eight quarters.
- The fastest year-over-year change in Total Non-Current Liabilities over five years came in Q4 2023 (growth of 478.6%), and the weakest in Q4 2022 (a decline of 82.4%).
- Business Quant data shows SCLX's Total Non-Current Liabilities at $522.16 million (Q1 2026), $526.13 million (Q4 2025) and $373.62 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.97 Bn | 1,105.55 Bn | 19.71 Bn | 60.66 Bn |
| 2 | Johnson & Johnson | 619.72 Bn | 538.25 Bn | 17.26 Bn | 105.50 Bn |
| 3 | AbbVie | 503.40 Bn | 476.52 Bn | 12.70 Bn | 106.45 Bn |
| 4 | Merck | 370.15 Bn | 324.53 Bn | 12.21 Bn | 80.25 Bn |
| 5 | Novartis Ag | 298.64 Bn | 262.63 Bn | 11.24 Bn | 48.34 Bn |
| 6 | Astrazeneca | 261.07 Bn | 234.76 Bn | 12.86 Bn | 33.91 Bn |
| 7 | Amgen | 237.00 Bn | 192.40 Bn | 7.24 Bn | 78.66 Bn |
| 8 | Gilead Sciences | 191.24 Bn | 165.43 Bn | 6.22 Bn | 35.10 Bn |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn | 97.04 Bn |
| 10 | Scilex Holding | 17.75 Mn | 7.89 Mn | 3.97 Mn | 497.65 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 497.65 Mn |
| Mar 31, 2026 | 494.50 Mn |
| Dec 31, 2025 | 473.32 Mn |
| Sep 30, 2025 | 289.33 Mn |
| Jun 30, 2025 | 289.80 Mn |
| Mar 31, 2025 | 272.17 Mn |
| Dec 31, 2024 | 246.39 Mn |
| Sep 30, 2024 | 286.13 Mn |
| Jun 30, 2024 | 256.37 Mn |
| Mar 31, 2024 | 264.18 Mn |
| Dec 31, 2023 | 268.14 Mn |
| Sep 30, 2023 | 235.82 Mn |
| Jun 30, 2023 | 99.61 Mn |
| Mar 31, 2023 | 58.58 Mn |
| Dec 31, 2022 | 44.28 Mn |
| Sep 30, 2022 | 324.50 Mn |
| Jun 30, 2022 | 387.97 Mn |
| Mar 31, 2022 | 363.51 Mn |
| Dec 31, 2021 | 266.11 Mn |
| Sep 30, 2021 | 139.42 Mn |
API Access
Scilex Holding 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=SCLX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "SCLX", "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=SCLX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();