Scilex Holding (SCLX) Payables (2020 - 2026)
Scilex Holding (SCLX) posted Payables of $121.05 million for Q2 2026, up 104.6% from $59.16 million a year earlier and up 19.2% from the prior quarter.
Scilex Holding (SCLX) Payables (2020 - 2026) Analysis & Trends
At the end of FY2025, Scilex Holding's Payables came in at $86.27 million, up 63.9% from FY2024.
- Annual Payables has increased for three consecutive years, with a five-year compound annual growth rate of 269.6% (FY2020 to FY2025).
- In prior years, Scilex Holding's Payables was $52.62 million in FY2024 (+28.5%), $40.95 million in FY2023 (+384.7%), $8.45 million in FY2022 (-80.0%) and $42.23 million in FY2021.
- The Q2 2026 figure stands as the highest quarterly Payables in data going back to Q4 2020.
- On a year-over-year basis, Payables has increased in each of the last 11 quarters, with growth averaging 55.2% over the last eight quarters.
- The strongest year-over-year quarter for Payables in the past five years was Q4 2023, with growth of 384.7%; the weakest was Q4 2022, with a decline of 80.0%.
- According to Business Quant data, Payables for the three prior quarters was $101.58 million (Q1 2026), $86.27 million (Q4 2025) and $68.16 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 645.01 Bn | 563.54 Bn | 17.26 Bn | 20.92 Bn |
| 2 | AbbVie | 465.23 Bn | 438.39 Bn | 12.70 Bn | 33.30 Bn |
| 3 | Merck | 368.40 Bn | 322.83 Bn | 12.21 Bn | 5.96 Bn |
| 4 | Novartis Ag | 278.02 Bn | 233.89 Bn | 11.24 Bn | 4.26 Bn |
| 5 | Astrazeneca | 254.57 Bn | 228.13 Bn | 12.86 Bn | -22.89 Bn |
| 6 | Amgen | 229.02 Bn | 184.42 Bn | 7.24 Bn | 2.87 Bn |
| 7 | Gilead Sciences | 187.74 Bn | 161.85 Bn | 6.22 Bn | 674.00 Mn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 7.03 Bn |
| 9 | Vertex Pharmaceuticals | 133.45 Bn | 105.45 Bn | 2.84 Bn | 429.50 Mn |
| 10 | Scilex Holding | 31.02 Mn | 19.00 Mn | 3.97 Mn | 121.05 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 121.05 Mn |
| Mar 31, 2026 | 101.58 Mn |
| Dec 31, 2025 | 86.27 Mn |
| Sep 30, 2025 | 68.16 Mn |
| Jun 30, 2025 | 59.16 Mn |
| Mar 31, 2025 | 57.26 Mn |
| Dec 31, 2024 | 52.62 Mn |
| Sep 30, 2024 | 43.40 Mn |
| Jun 30, 2024 | 41.79 Mn |
| Mar 31, 2024 | 42.22 Mn |
| Dec 31, 2023 | 40.95 Mn |
| Sep 30, 2023 | 32.56 Mn |
| Jun 30, 2023 | 11.41 Mn |
| Mar 31, 2023 | 9.82 Mn |
| Dec 31, 2022 | 8.45 Mn |
| Sep 30, 2022 | 809,292.00 |
| Jun 30, 2022 | 598,646.00 |
| Mar 31, 2022 | 41,003.00 |
| Dec 31, 2021 | 42.23 Mn |
| Sep 30, 2021 | 43,569.00 |
Scilex Holding Payables 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=payables&ticker=SCLX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "payables", "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=payables&ticker=SCLX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();