Scilex Holding (SCLX) Total Current Liabilities (2020 - 2026)
Scilex Holding (SCLX) recorded Total Current Liabilities of $512.24 million in Q2 2026, up 67.4% from $305.93 million a year earlier and up 2.1% from the prior quarter.
Scilex Holding (SCLX) Total Current Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Scilex Holding reported Total Current Liabilities of $483.65 million, up 86.3% from FY2024.
- Annual Total Current Liabilities has increased for three straight years, with a five-year compound annual growth rate of 384.7% (FY2020 to FY2025).
- Across earlier years, Total Current Liabilities came in at $259.64 million in FY2024 (+3.7%), $250.38 million in FY2023 (+458.4%), $44.84 million in FY2022 (-73.5%) and $169.42 million in FY2021.
- The Q2 2026 figure is the highest quarterly Total Current Liabilities in data going back to Q4 2020.
- On a year-over-year basis, Total Current Liabilities has increased for 11 consecutive quarters, with growth averaging 39.9% over the last eight quarters.
- Peak year-over-year performance for Total Current Liabilities in the last five years was growth of 458.4% in Q4 2023, against a decline of 73.5% in Q4 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $501.75 million (Q1 2026), $483.65 million (Q4 2025) and $358.95 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.97 Bn | 1,105.55 Bn | 19.71 Bn | 47.74 Bn |
| 2 | Johnson & Johnson | 619.72 Bn | 538.25 Bn | 17.26 Bn | 54.90 Bn |
| 3 | AbbVie | 503.40 Bn | 476.52 Bn | 12.70 Bn | 41.64 Bn |
| 4 | Merck | 370.15 Bn | 324.53 Bn | 12.21 Bn | 27.73 Bn |
| 5 | Novartis Ag | 298.64 Bn | 262.63 Bn | 11.24 Bn | 31.75 Bn |
| 6 | Astrazeneca | 261.07 Bn | 234.76 Bn | 12.86 Bn | 31.55 Bn |
| 7 | Amgen | 237.00 Bn | 192.40 Bn | 7.24 Bn | 25.50 Bn |
| 8 | Gilead Sciences | 191.24 Bn | 165.43 Bn | 6.22 Bn | 11.02 Bn |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn | 32.65 Bn |
| 10 | Scilex Holding | 17.75 Mn | 7.89 Mn | 3.97 Mn | 512.24 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 512.24 Mn |
| Mar 31, 2026 | 501.75 Mn |
| Dec 31, 2025 | 483.65 Mn |
| Sep 30, 2025 | 358.95 Mn |
| Jun 30, 2025 | 305.93 Mn |
| Mar 31, 2025 | 275.74 Mn |
| Dec 31, 2024 | 259.64 Mn |
| Sep 30, 2024 | 281.54 Mn |
| Jun 30, 2024 | 255.45 Mn |
| Mar 31, 2024 | 252.73 Mn |
| Dec 31, 2023 | 250.38 Mn |
| Sep 30, 2023 | 228.58 Mn |
| Jun 30, 2023 | 103.58 Mn |
| Mar 31, 2023 | 64.60 Mn |
| Dec 31, 2022 | 44.84 Mn |
| Sep 30, 2022 | 809,292.00 |
| Jun 30, 2022 | 598,646.00 |
| Mar 31, 2022 | 41,003.00 |
| Dec 31, 2021 | 169.42 Mn |
| Sep 30, 2021 | 43,569.00 |
Scilex Holding Total 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-current-liabilities&ticker=SCLX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-current-liabilities&ticker=SCLX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();