Evofem Biosciences (EVFM) Amortization - Intangibles (2024 - 2026)
Evofem Biosciences' Amortization - Intangibles came in at $14,000 for Q2 2026, down 86.9% from $107,000 a year earlier and down 86.0% from the prior quarter.
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Analysis
Evofem Biosciences (EVFM) Amortization - Intangibles (2024 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Evofem Biosciences reported Amortization - Intangibles of $304,000, down 68.0% year-over-year; for FY2025, it was $500,000, down 19.2% from FY2024.
- Going back by year, Amortization - Intangibles was $619,000 in FY2024.
- The Q2 2026 figure represents the lowest quarterly Amortization - Intangibles in data going back to Q3 2024.
- Year-over-year, Amortization - Intangibles has declined for four consecutive quarters, with an average decline of 70.1% over the last four quarters.
- Business Quant data shows EVFM's Amortization - Intangibles at $100,000 (Q1 2026), $90,000 (Q4 2025) and $100,000 (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,165.22 Bn | 1,133.81 Bn | 19.71 Bn |
| 2 | Johnson & Johnson | 646.28 Bn | 566.14 Bn | 17.30 Bn |
| 3 | AbbVie | 503.17 Bn | 476.28 Bn | 12.70 Bn |
| 4 | Merck | 365.23 Bn | 319.60 Bn | 12.21 Bn |
| 5 | Novartis Ag | 302.66 Bn | 266.65 Bn | 11.24 Bn |
| 6 | Astrazeneca | 267.39 Bn | 241.08 Bn | 12.86 Bn |
| 7 | Amgen | 241.61 Bn | 197.01 Bn | 7.24 Bn |
| 8 | Gilead Sciences | 194.67 Bn | 168.86 Bn | 6.22 Bn |
| 9 | Pfizer | 172.91 Bn | 119.55 Bn | 10.94 Bn |
| 10 | Evofem Biosciences | 878,961.72 | 878,961.72 | 2.12 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 14,000.00 |
| Mar 31, 2026 | 100,000.00 |
| Dec 31, 2025 | 90,000.00 |
| Sep 30, 2025 | 100,000.00 |
| Jun 30, 2025 | 107,000.00 |
| Mar 31, 2025 | 223,000.00 |
| Dec 31, 2024 | 318,000.00 |
| Sep 30, 2024 | 301,000.00 |
API Access
Evofem Biosciences Amortization - Intangibles 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=amortization-intangibles&ticker=EVFM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortization-intangibles", "ticker": "EVFM", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=amortization-intangibles&ticker=EVFM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();