Evolus (EOLS) Total Current Liabilities (2017 - 2026)
Evolus (EOLS) recorded Total Current Liabilities of $98.73 million in Q2 2026, up 54.9% from $63.75 million a year earlier and up 45.1% from the prior quarter.
Evolus (EOLS) Total Current Liabilities (2017 - 2026) Analysis & Trends
At the end of FY2025, Evolus reported Total Current Liabilities of $75.31 million, up 19.6% from FY2024.
- Annual Total Current Liabilities has increased for three straight years, though with a five-year compound annual growth rate of -16.0% (FY2020 to FY2025).
- Across earlier years, Total Current Liabilities came in at $62.96 million in FY2024 (+30.4%), $48.29 million in FY2023 (+3.8%), $46.51 million in FY2022 (-19.3%) and $57.66 million in FY2021 (-68.0%).
- The Q2 2026 figure is the highest quarterly Total Current Liabilities since Q4 2020.
- On a year-over-year basis, Total Current Liabilities has increased for 11 consecutive quarters, with growth averaging 24.8% over the last eight quarters.
- Peak year-over-year performance for Total Current Liabilities in the last five years was growth of 461.0% in Q3 2021, against a decline of 68.0% in Q4 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $68.02 million (Q1 2026), $75.31 million (Q4 2025) and $66.71 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 54.90 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 41.64 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 27.73 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 31.75 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | -31.55 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 25.50 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 11.02 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 32.65 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 3.94 Bn |
| 10 | Evolus | 525.47 Mn | 333.16 Mn | 57.18 Mn | 98.73 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 98.73 Mn |
| Mar 31, 2026 | 68.02 Mn |
| Dec 31, 2025 | 75.31 Mn |
| Sep 30, 2025 | 66.71 Mn |
| Jun 30, 2025 | 63.75 Mn |
| Mar 31, 2025 | 56.23 Mn |
| Dec 31, 2024 | 62.96 Mn |
| Sep 30, 2024 | 60.82 Mn |
| Jun 30, 2024 | 54.12 Mn |
| Mar 31, 2024 | 46.80 Mn |
| Dec 31, 2023 | 48.29 Mn |
| Sep 30, 2023 | 48.54 Mn |
| Jun 30, 2023 | 41.35 Mn |
| Mar 31, 2023 | 40.68 Mn |
| Dec 31, 2022 | 46.51 Mn |
| Sep 30, 2022 | 51.27 Mn |
| Jun 30, 2022 | 51.53 Mn |
| Mar 31, 2022 | 40.70 Mn |
| Dec 31, 2021 | 57.66 Mn |
| Sep 30, 2021 | 71.30 Mn |
Evolus 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=EOLS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "ticker": "EOLS", "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=EOLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();