Emmaus Life Sciences (EMMA) Non Operating Interest Expenses (2018 - 2026)
Emmaus Life Sciences' Non Operating Interest Expenses was $1.6 million in Q2 2026, down 4.9% from $1.68 million a year earlier and down 24.9% from the prior quarter.
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Analysis
Emmaus Life Sciences (EMMA) Non Operating Interest Expenses (2018 - 2026) Analysis & Trends
On a trailing twelve-month basis, Emmaus Life Sciences' Non Operating Interest Expenses was $7.92 million through Jun 30, 2026, up 42.7% year-over-year; for FY2025, it was $7.13 million, up 29.9% from FY2024.
- Non Operating Interest Expenses shows a five-year compound annual growth rate of 3.6% (FY2020 to FY2025).
- In earlier years, Non Operating Interest Expenses was $5.49 million in FY2024 (-25.6%), $7.38 million in FY2023 (+47.3%), $5.01 million in FY2022 (+61.7%) and $3.1 million in FY2021 (-48.2%).
- The Q2 2026 figure marks the lowest quarterly Non Operating Interest Expenses since Q1 2025.
- Compared with a year earlier, Non Operating Interest Expenses was higher in four of the last eight quarters, with growth averaging 19.3%.
- The best year-over-year quarter for Non Operating Interest Expenses over five years was Q3 2022 (growth of 122.5%); the worst was Q3 2021 (a decline of 57.5%).
- Per Business Quant data, EMMA's Non Operating Interest Expenses in the three quarters before Q2 2026 was $2.13 million (Q1 2026), $2.27 million (Q4 2025) and $1.93 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,171.69 Bn | 1,140.28 Bn | 19.71 Bn | - |
| 2 | Johnson & Johnson | 649.22 Bn | 569.08 Bn | 17.30 Bn | 217.00 Mn |
| 3 | AbbVie | 504.17 Bn | 477.29 Bn | 12.70 Bn | - |
| 4 | Merck | 366.35 Bn | 320.73 Bn | 12.21 Bn | - |
| 5 | Novartis Ag | 303.54 Bn | 267.53 Bn | 11.24 Bn | 462.00 Mn |
| 6 | Astrazeneca | 269.49 Bn | 243.18 Bn | 12.86 Bn | 435.00 Mn |
| 7 | Amgen | 242.61 Bn | 198.01 Bn | 7.24 Bn | 673.00 Mn |
| 8 | Gilead Sciences | 195.09 Bn | 169.29 Bn | 6.22 Bn | 247.00 Mn |
| 9 | Pfizer | 172.48 Bn | 119.12 Bn | 10.94 Bn | - |
| 10 | Emmaus Life Sciences | 4.21 Mn | -2.09 Mn | 5.97 Mn | 1.60 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.60 Mn |
| Mar 31, 2026 | 2.13 Mn |
| Dec 31, 2025 | 2.27 Mn |
| Sep 30, 2025 | 1.93 Mn |
| Jun 30, 2025 | 1.68 Mn |
| Mar 31, 2025 | 1.26 Mn |
| Dec 31, 2024 | 1.28 Mn |
| Sep 30, 2024 | 1.34 Mn |
| Jun 30, 2024 | 966,000.00 |
| Mar 31, 2024 | 1.91 Mn |
| Dec 31, 2023 | 2.18 Mn |
| Sep 30, 2023 | 1.91 Mn |
| Jun 30, 2023 | 1.79 Mn |
| Mar 31, 2023 | 1.50 Mn |
| Dec 31, 2022 | 1.47 Mn |
| Sep 30, 2022 | 1.52 Mn |
| Jun 30, 2022 | 1.29 Mn |
| Mar 31, 2022 | 737,000.00 |
| Dec 31, 2021 | 711,000.00 |
| Sep 30, 2021 | 683,000.00 |
API Access
Emmaus Life Sciences 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=EMMA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "ticker": "EMMA", "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=EMMA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();