Evolus (EOLS) Total Current Liabilities (2017 - 2026)
Evolus (EOLS) recorded Total Current Liabilities of $142.38 million in Q3 2026, up 113.4% from $66.71 million a year earlier and up 44.2% 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 Q3 2026 figure is the highest quarterly Total Current Liabilities since Q4 2020.
- On a year-over-year basis, Total Current Liabilities has increased for 12 consecutive quarters, with growth averaging 35.9% over the last eight quarters.
- Peak year-over-year performance for Total Current Liabilities in the last five years was growth of 113.4% in Q3 2026, against a decline of 68.0% in Q4 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $98.73 million (Q2 2026), $68.02 million (Q1 2026) and $75.31 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,264.65 Bn | 1,238.27 Bn | 20.46 Bn | 47.00 Bn |
| 2 | Johnson & Johnson | 677.74 Bn | 597.60 Bn | 17.30 Bn | 55.46 Bn |
| 3 | AbbVie | 517.10 Bn | 485.11 Bn | 13.12 Bn | 43.10 Bn |
| 4 | Merck | 362.23 Bn | 325.17 Bn | 13.19 Bn | 28.80 Bn |
| 5 | Novartis Ag | 315.90 Bn | 276.16 Bn | 11.24 Bn | 31.75 Bn |
| 6 | Astrazeneca | 289.40 Bn | 266.24 Bn | 12.86 Bn | 31.55 Bn |
| 7 | Amgen | 249.90 Bn | 201.56 Bn | 7.58 Bn | 23.23 Bn |
| 8 | Gilead Sciences | 209.15 Bn | 184.26 Bn | 6.73 Bn | 12.00 Bn |
| 9 | Pfizer | 165.88 Bn | 113.23 Bn | 12.56 Bn | 31.73 Bn |
| 10 | Evolus | 455.33 Mn | 264.84 Mn | 50.69 Mn | 142.38 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 142.38 Mn |
| 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 |
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();