Evolus (EOLS) Non Operating Interest Expenses (2018 - 2026)
Evolus' Non Operating Interest Expenses came in at $4.25 million for Q3 2026, up 3.7% from $4.09 million a year earlier and up 1.8% from the prior quarter.
Evolus (EOLS) Non Operating Interest Expenses (2018 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, Evolus reported Non Operating Interest Expenses of $16.37 million, down 19.3% year-over-year; for FY2025, it was $19.69 million, up 5.1% from FY2024.
- Non Operating Interest Expenses has increased in each of the last four years, with a four-year compound annual growth rate of 93.8% (FY2021 to FY2025).
- Going back by year, Non Operating Interest Expenses was $18.74 million in FY2024 (+35.4%), $13.83 million in FY2023 (+52.1%), $9.1 million in FY2022 (+551.6%) and $1.4 million in FY2021.
- The Q3 2026 figure represents the highest quarterly Non Operating Interest Expenses since Q2 2025.
- Year-over-year, Non Operating Interest Expenses increased in three of the last eight quarters, with an average decline of 2.0%.
- The fastest year-over-year change in Non Operating Interest Expenses over five years came in Q3 2022 (growth of 653.4%), and the weakest in Q2 2026 (a decline of 42.1%).
- Business Quant data shows EOLS's Non Operating Interest Expenses at $4.17 million (Q2 2026), $3.98 million (Q1 2026) and $3.98 million (Q4 2025) in the three quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | - |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 217.00 Mn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | - |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | - |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | -477.00 Mn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 653.00 Mn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 269.00 Mn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | - |
| 10 | Evolus | 450.43 Mn | 259.94 Mn | 50.69 Mn | 4.25 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 4.25 Mn |
| Jun 30, 2026 | 4.17 Mn |
| Mar 31, 2026 | 3.98 Mn |
| Dec 31, 2025 | 3.98 Mn |
| Sep 30, 2025 | 4.09 Mn |
| Jun 30, 2025 | 7.21 Mn |
| Mar 31, 2025 | 4.42 Mn |
| Dec 31, 2024 | 4.57 Mn |
| Sep 30, 2024 | 4.76 Mn |
| Jun 30, 2024 | 4.70 Mn |
| Mar 31, 2024 | 4.70 Mn |
| Dec 31, 2023 | 4.08 Mn |
| Sep 30, 2023 | 3.79 Mn |
| Jun 30, 2023 | 3.18 Mn |
| Mar 31, 2023 | 2.79 Mn |
| Dec 31, 2022 | 2.63 Mn |
| Sep 30, 2022 | 2.34 Mn |
| Jun 30, 2022 | 2.08 Mn |
| Mar 31, 2022 | 2.05 Mn |
| Dec 31, 2021 | 140,000.00 |
Evolus Non Operating Interest Expenses 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=non-operating-interest-expenses&ticker=EOLS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "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=non-operating-interest-expenses&ticker=EOLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();