Evofem Biosciences (EVFM) Other Accumulated Expenses (2014 - 2026)
Evofem Biosciences (EVFM) posted Other Accumulated Expenses of $11.17 million for Q2 2026, up 47.2% from $7.59 million a year earlier and up 9.2% from the prior quarter.
Evofem Biosciences (EVFM) Other Accumulated Expenses (2014 - 2026) Analysis & Trends
At the end of FY2025, Evofem Biosciences' Other Accumulated Expenses came in at $12.02 million, up 63.2% from FY2024.
- Annual Other Accumulated Expenses has increased for five consecutive years, with a five-year compound annual growth rate of 66.0% (FY2020 to FY2025).
- In prior years, Evofem Biosciences' Other Accumulated Expenses was $7.36 million in FY2024 (+122.0%), $3.32 million in FY2023 (+15.3%), $2.88 million in FY2022 (+0.4%) and $2.86 million in FY2021 (+200.5%).
- Quarterly Other Accumulated Expenses has run from a low of $1.41 million in Q1 2022 to a high of $12.02 million in Q4 2025 over five years.
- On a year-over-year basis, Other Accumulated Expenses has increased in each of the last seven quarters, with growth averaging 101.3% over the last eight quarters.
- The strongest year-over-year quarter for Other Accumulated Expenses in the past five years was Q3 2025, with growth of 373.7%; the weakest was Q3 2024, with a decline of 51.2%.
- According to Business Quant data, Other Accumulated Expenses for the three prior quarters was $10.23 million (Q1 2026), $12.02 million (Q4 2025) and $8.16 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,230.11 Bn | 1,198.70 Bn | 19.71 Bn |
| 2 | Johnson & Johnson | 644.39 Bn | 564.25 Bn | 17.30 Bn |
| 3 | AbbVie | 503.52 Bn | 476.68 Bn | 12.70 Bn |
| 4 | Merck | 363.29 Bn | 317.72 Bn | 12.21 Bn |
| 5 | Novartis Ag | 298.23 Bn | 262.62 Bn | 11.24 Bn |
| 6 | Astrazeneca | 267.53 Bn | 241.29 Bn | 12.86 Bn |
| 7 | Amgen | 241.80 Bn | 197.20 Bn | 7.24 Bn |
| 8 | Gilead Sciences | 195.07 Bn | 169.19 Bn | 6.22 Bn |
| 9 | Pfizer | 173.33 Bn | 120.28 Bn | 10.94 Bn |
| 10 | Evofem Biosciences | 1.33 Mn | 1.33 Mn | 2.12 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 11.17 Mn |
| Mar 31, 2026 | 10.23 Mn |
| Dec 31, 2025 | 12.02 Mn |
| Sep 30, 2025 | 8.16 Mn |
| Jun 30, 2025 | 7.59 Mn |
| Mar 31, 2025 | 7.18 Mn |
| Dec 31, 2024 | 7.36 Mn |
| Sep 30, 2024 | 1.72 Mn |
| Jun 30, 2024 | 3.78 Mn |
| Mar 31, 2024 | 3.39 Mn |
| Dec 31, 2023 | 3.32 Mn |
| Sep 30, 2023 | 3.53 Mn |
| Jun 30, 2023 | 3.63 Mn |
| Mar 31, 2023 | 3.19 Mn |
| Dec 31, 2022 | 2.88 Mn |
| Sep 30, 2022 | 5.08 Mn |
| Jun 30, 2022 | 2.42 Mn |
| Mar 31, 2022 | 1.41 Mn |
| Dec 31, 2021 | 2.86 Mn |
| Sep 30, 2021 | 2.48 Mn |
Evofem Biosciences Other Accumulated 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=other-accumulated-expenses&ticker=EVFM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "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=other-accumulated-expenses&ticker=EVFM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();