Emmaus Life Sciences (EMMA) Other Non-Current Liabilities (2014 - 2026)
Emmaus Life Sciences' Other Non-Current Liabilities was $12.88 million in Q2 2026, down 1.9% from $13.13 million a year earlier but up 3.8% from the prior quarter.
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Analysis
Emmaus Life Sciences (EMMA) Other Non-Current Liabilities (2014 - 2026) Analysis & Trends
At the end of FY2025, Other Non-Current Liabilities at Emmaus Life Sciences came in at $12.29 million, down 8.7% from FY2024.
- Other Non-Current Liabilities has now declined for five consecutive years, with a five-year compound annual growth rate of -18.6% (FY2020 to FY2025).
- In earlier years, Other Non-Current Liabilities was $13.47 million in FY2024 (-22.5%), $17.36 million in FY2023 (-20.0%), $21.71 million in FY2022 (-34.5%) and $33.17 million in FY2021 (-3.8%).
- Quarterly Other Non-Current Liabilities has moved between $12.29 million (Q4 2025) and $33.17 million (Q4 2021) over five years.
- Compared with a year earlier, Other Non-Current Liabilities has declined for 22 straight quarters, with an average decline of 13.3% over the last eight quarters.
- The year-over-year decline in Other Non-Current Liabilities has ranged between 0.5% (Q3 2022) and 46.3% (Q3 2023) over the last five years.
- Per Business Quant data, EMMA's Other Non-Current Liabilities in the three quarters before Q2 2026 was $12.42 million (Q1 2026), $12.29 million (Q4 2025) and $12.31 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,171.37 Bn | 1,139.96 Bn | 19.71 Bn |
| 2 | Johnson & Johnson | 645.23 Bn | 565.09 Bn | 17.30 Bn |
| 3 | AbbVie | 502.25 Bn | 475.37 Bn | 12.70 Bn |
| 4 | Merck | 361.34 Bn | 315.71 Bn | 12.21 Bn |
| 5 | Novartis Ag | 302.82 Bn | 266.81 Bn | 11.24 Bn |
| 6 | Astrazeneca | 267.91 Bn | 241.60 Bn | 12.86 Bn |
| 7 | Amgen | 242.39 Bn | 197.79 Bn | 7.24 Bn |
| 8 | Gilead Sciences | 193.55 Bn | 167.74 Bn | 6.22 Bn |
| 9 | Pfizer | 172.05 Bn | 118.70 Bn | 10.94 Bn |
| 10 | Emmaus Life Sciences | 4.21 Mn | -2.09 Mn | 5.97 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 12.88 Mn |
| Mar 31, 2026 | 12.42 Mn |
| Dec 31, 2025 | 12.29 Mn |
| Sep 30, 2025 | 12.31 Mn |
| Jun 30, 2025 | 13.13 Mn |
| Mar 31, 2025 | 13.37 Mn |
| Dec 31, 2024 | 13.47 Mn |
| Sep 30, 2024 | 13.68 Mn |
| Jun 30, 2024 | 15.37 Mn |
| Mar 31, 2024 | 16.97 Mn |
| Dec 31, 2023 | 17.36 Mn |
| Sep 30, 2023 | 17.24 Mn |
| Jun 30, 2023 | 18.13 Mn |
| Mar 31, 2023 | 20.26 Mn |
| Dec 31, 2022 | 21.71 Mn |
| Sep 30, 2022 | 32.12 Mn |
| Jun 30, 2022 | 31.69 Mn |
| Mar 31, 2022 | 31.51 Mn |
| Dec 31, 2021 | 33.17 Mn |
| Sep 30, 2021 | 32.28 Mn |
API Access
Emmaus Life Sciences Other Non-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=other-non-current-liabilities&ticker=EMMA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-current-liabilities", "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=other-non-current-liabilities&ticker=EMMA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();