Femasys (FEMY) Inventory (2020 - 2026)
Femasys (FEMY) reported Inventory of $6.19 million for Q2 2026, up 18.3% from $5.23 million a year earlier and up 1.4% from the prior quarter.
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Analysis
Femasys (FEMY) Inventory (2020 - 2026) Analysis & Trends
At the end of FY2025, Femasys posted Inventory of $5.74 million, up 88.4% from FY2024.
- Inventory has increased for five consecutive years, with a five-year compound annual growth rate of 112.9% (FY2020 to FY2025).
- By year, Inventory came in at $3.05 million in FY2024 (+356.6%), $667,118 in FY2023 (+52.8%), $436,723 in FY2022 (+109.7%) and $208,270 in FY2021 (+58.5%).
- The Q2 2026 figure ranks as the highest quarterly Inventory in data going back to Q4 2020.
- Year over year, Inventory has now increased in each of the last 17 quarters, with growth averaging 192.1% over the last eight quarters.
- Across the past five years, year-over-year growth in Inventory ran from 18.3% in Q2 2026 to 356.6% in Q4 2024.
- Per Business Quant data, the three quarters before Q2 2026 came in at $6.11 million (Q1 2026), $5.74 million (Q4 2025) and $5.78 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 254.87 Bn | 233.89 Bn | 4.88 Bn | 5.63 Bn |
| 2 | Abbott Laboratories | 178.85 Bn | 149.28 Bn | 7.27 Bn | 7.32 Bn |
| 3 | Danaher | 158.49 Bn | 142.30 Bn | 3.61 Bn | 3.26 Bn |
| 4 | Intuitive Surgical | 154.99 Bn | 134.41 Bn | 1.96 Bn | 2.03 Bn |
| 5 | Medtronic | 121.02 Bn | 86.28 Bn | 6.34 Bn | 6.22 Bn |
| 6 | Stryker | 116.94 Bn | 103.05 Bn | 4.50 Bn | 5.52 Bn |
| 7 | Boston Scientific | 66.98 Bn | 61.75 Bn | 3.85 Bn | 3.24 Bn |
| 8 | Becton Dickinson | 53.23 Bn | 50.38 Bn | 2.32 Bn | 3.32 Bn |
| 9 | Edwards Lifesciences | 50.83 Bn | 34.83 Bn | 1.35 Bn | 1.13 Bn |
| 10 | Femasys | 5.71 Mn | -14.96 Mn | 189,391.00 | 6.19 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.19 Mn |
| Mar 31, 2026 | 6.11 Mn |
| Dec 31, 2025 | 5.74 Mn |
| Sep 30, 2025 | 5.78 Mn |
| Jun 30, 2025 | 5.23 Mn |
| Mar 31, 2025 | 3.86 Mn |
| Dec 31, 2024 | 3.05 Mn |
| Sep 30, 2024 | 1.94 Mn |
| Jun 30, 2024 | 1.32 Mn |
| Mar 31, 2024 | 971,297.00 |
| Dec 31, 2023 | 667,118.00 |
| Sep 30, 2023 | 602,668.00 |
| Jun 30, 2023 | 581,474.00 |
| Mar 31, 2023 | 500,741.00 |
| Dec 31, 2022 | 436,723.00 |
| Sep 30, 2022 | 343,136.00 |
| Jun 30, 2022 | 244,181.00 |
| Mar 31, 2022 | 223,008.00 |
| Dec 31, 2021 | 208,270.00 |
| Sep 30, 2021 | 150,336.00 |
API Access
Femasys Inventory 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=inventory&ticker=FEMY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "ticker": "FEMY", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=inventory&ticker=FEMY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();