Evofem Biosciences (EVFM) Total Liabilities (2014 - 2026)
Evofem Biosciences' Total Liabilities came in at $95.04 million for Q2 2026, up 13.1% from $84 million a year earlier and up 11.7% from the prior quarter.
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Analysis
Evofem Biosciences (EVFM) Total Liabilities (2014 - 2026) Analysis & Trends
At the end of FY2025, Evofem Biosciences' Total Liabilities was $94.61 million, down 0.5% from FY2024.
- Total Liabilities carries a five-year compound annual growth rate of -2.7% (FY2020 to FY2025).
- Going back by year, Total Liabilities was $95.05 million in FY2024 (+23.3%), $77.06 million in FY2023 (-20.5%), $96.96 million in FY2022 (-34.0%) and $146.83 million in FY2021 (+35.2%).
- The Q2 2026 figure represents the highest quarterly Total Liabilities since Q4 2024.
- Year-over-year, Total Liabilities increased in six of the last eight quarters, with growth averaging 10.2%.
- The fastest year-over-year change in Total Liabilities over five years came in Q2 2022 (growth of 170.1%), and the weakest in Q2 2023 (a decline of 74.1%).
- Business Quant data shows EVFM's Total Liabilities at $85.07 million (Q1 2026), $94.61 million (Q4 2025) and $88.87 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,171.71 Bn | 1,140.30 Bn | 19.71 Bn | 108.40 Bn |
| 2 | Johnson & Johnson | 642.13 Bn | 560.65 Bn | 17.26 Bn | 116.09 Bn |
| 3 | AbbVie | 501.64 Bn | 474.75 Bn | 12.70 Bn | 141.05 Bn |
| 4 | Merck | 375.66 Bn | 330.04 Bn | 12.21 Bn | 87.82 Bn |
| 5 | Novartis Ag | 302.79 Bn | 266.78 Bn | 11.24 Bn | 80.09 Bn |
| 6 | Astrazeneca | 268.68 Bn | 242.37 Bn | 12.86 Bn | 65.46 Bn |
| 7 | Amgen | 242.43 Bn | 197.83 Bn | 7.24 Bn | 83.95 Bn |
| 8 | Gilead Sciences | 193.69 Bn | 167.89 Bn | 6.22 Bn | 37.53 Bn |
| 9 | Pfizer | 172.47 Bn | 119.12 Bn | 10.94 Bn | 115.64 Bn |
| 10 | Evofem Biosciences | 1.33 Mn | 1.33 Mn | 2.12 Mn | 95.04 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 95.04 Mn |
| Mar 31, 2026 | 85.07 Mn |
| Dec 31, 2025 | 94.61 Mn |
| Sep 30, 2025 | 88.87 Mn |
| Jun 30, 2025 | 84.00 Mn |
| Mar 31, 2025 | 82.46 Mn |
| Dec 31, 2024 | 95.05 Mn |
| Sep 30, 2024 | 94.83 Mn |
| Jun 30, 2024 | 77.87 Mn |
| Mar 31, 2024 | 78.88 Mn |
| Dec 31, 2023 | 77.06 Mn |
| Sep 30, 2023 | 69.68 Mn |
| Jun 30, 2023 | 69.74 Mn |
| Mar 31, 2023 | 82.44 Mn |
| Dec 31, 2022 | 96.96 Mn |
| Sep 30, 2022 | 120.33 Mn |
| Jun 30, 2022 | 269.47 Mn |
| Mar 31, 2022 | 162.67 Mn |
| Dec 31, 2021 | 146.83 Mn |
| Sep 30, 2021 | 126.25 Mn |
API Access
Evofem Biosciences Total 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=total-liabilities&ticker=EVFM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=EVFM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();