Emmaus Life Sciences (EMMA) Depreciation & Amortization (CF) (2010 - 2026)
Emmaus Life Sciences (EMMA) recorded Depreciation & Amortization (CF) of $14,000 in Q2 2026, up 250.0% from $4,000 a year earlier but down 6.7% from the prior quarter.
Emmaus Life Sciences (EMMA) Depreciation & Amortization (CF) (2010 - 2026) Analysis & Trends
On a TTM basis, Emmaus Life Sciences' Depreciation & Amortization (CF) came in at $59,000 as of Jun 30, 2026, up 210.5% year-over-year; for FY2025, it came in at $39,000, up 77.3% from FY2024.
- Annual Depreciation & Amortization (CF) has a five-year compound annual growth rate of -8.3% (FY2020 to FY2025).
- Across earlier years, Depreciation & Amortization (CF) came in at $22,000 in FY2024 (-31.3%), $32,000 in FY2023 (-39.6%), $53,000 in FY2022 (-10.2%) and $59,000 in FY2021 (-1.7%).
- Quarterly Depreciation & Amortization (CF) has ranged from $4,000 in Q2 2025 to $15,000 in Q1 2026 over the past five years.
- On a year-over-year basis, Depreciation & Amortization (CF) has increased for four consecutive quarters, with growth averaging 93.2% over the last eight quarters.
- Peak year-over-year performance for Depreciation & Amortization (CF) in the last five years was growth of 250.0% in Q2 2026, against a decline of 53.8% in Q4 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $15,000 (Q1 2026), $15,000 (Q4 2025) and $15,000 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,165.22 Bn | 1,133.81 Bn | 19.71 Bn | 534.00 Mn |
| 2 | Johnson & Johnson | 646.28 Bn | 566.14 Bn | 17.30 Bn | 2.12 Bn |
| 3 | AbbVie | 503.17 Bn | 476.28 Bn | 12.70 Bn | 194.00 Mn |
| 4 | Merck | 365.23 Bn | 319.60 Bn | 12.21 Bn | 599.00 Mn |
| 5 | Novartis Ag | 302.66 Bn | 266.65 Bn | 11.24 Bn | - |
| 6 | Astrazeneca | 267.39 Bn | 241.08 Bn | 12.86 Bn | 1.93 Bn |
| 7 | Amgen | 241.61 Bn | 197.01 Bn | 7.24 Bn | 1.11 Bn |
| 8 | Gilead Sciences | 194.67 Bn | 168.86 Bn | 6.22 Bn | 98.00 Mn |
| 9 | Pfizer | 172.91 Bn | 119.55 Bn | 10.94 Bn | 1.62 Bn |
| 10 | Emmaus Life Sciences | 4.21 Mn | -2.09 Mn | 5.97 Mn | 14,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 14,000.00 |
| Mar 31, 2026 | 15,000.00 |
| Dec 31, 2025 | 15,000.00 |
| Sep 30, 2025 | 15,000.00 |
| Jun 30, 2025 | 4,000.00 |
| Mar 31, 2025 | 5,000.00 |
| Dec 31, 2024 | 5,000.00 |
| Sep 30, 2024 | 5,000.00 |
| Jun 30, 2024 | 6,000.00 |
| Mar 31, 2024 | 6,000.00 |
| Dec 31, 2023 | 6,000.00 |
| Sep 30, 2023 | 8,000.00 |
| Jun 30, 2023 | 9,000.00 |
| Mar 31, 2023 | 9,000.00 |
| Dec 31, 2022 | 13,000.00 |
| Sep 30, 2022 | 12,000.00 |
| Jun 30, 2022 | 13,000.00 |
| Mar 31, 2022 | 15,000.00 |
| Dec 31, 2021 | 15,000.00 |
| Sep 30, 2021 | 14,000.00 |
Emmaus Life Sciences Depreciation & Amortization (CF) 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=depreciation-and-amortization-cf&ticker=EMMA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-cf", "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=depreciation-and-amortization-cf&ticker=EMMA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();