Femasys (FEMY) Change in Inventory (2020 - 2026)
Femasys (FEMY) reported Change in Inventory of $86,010 for Q2 2026, down 93.7% from $1.37 million a year earlier and down 76.4% from the prior quarter.
Femasys (FEMY) Change in Inventory (2020 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Femasys' Change in Inventory came in at $958,539, down 75.5% year-over-year; for FY2025, it came in at $2.69 million, up 13.2% from FY2024.
- By year, Change in Inventory came in at $2.38 million in FY2024 (+932.7%), $230,395 in FY2023 (-0.9%), $232,553 in FY2022 (+200.3%) and $77,432 in FY2021.
- Five-year quarterly Change in Inventory spans a low of -$43,725 in Q4 2025 and a high of $1.37 million in Q2 2025.
- Year over year, Change in Inventory gained in two of the last five quarters, with growth averaging 61.2%.
- The high point for year-over-year Change in Inventory in five years was Q2 2022 (growth of 657.4%); the low point was Q2 2026 (a decline of 93.7%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $365,018 (Q1 2026), -$43,725 (Q4 2025) and $551,236 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | - |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 301.00 Mn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 46.00 Mn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | 248.00 Mn |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 240.00 Mn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 113.00 Mn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 133.00 Mn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 23.50 Mn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | - |
| 10 | Femasys | 6.32 Mn | -14.34 Mn | 189,391.00 | 86,010.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 86,010.00 |
| Mar 31, 2026 | 365,018.00 |
| Dec 31, 2025 | -43,725.00 |
| Sep 30, 2025 | 551,236.00 |
| Jun 30, 2025 | 1.37 Mn |
| Mar 31, 2025 | 815,865.00 |
| Dec 31, 2024 | 1.11 Mn |
| Sep 30, 2024 | 622,090.00 |
| Jun 30, 2024 | 344,283.00 |
| Mar 31, 2024 | 304,179.00 |
| Dec 31, 2023 | 59,478.00 |
| Sep 30, 2023 | 24,396.00 |
| Jun 30, 2023 | 82,203.00 |
| Mar 31, 2023 | 64,318.00 |
| Dec 31, 2022 | 93,887.00 |
| Sep 30, 2022 | 99,855.00 |
| Jun 30, 2022 | 21,373.00 |
| Mar 31, 2022 | 17,438.00 |
| Dec 31, 2021 | 58,474.00 |
| Sep 30, 2021 | 3,457.00 |
Femasys Change in 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=change-in-inventory&ticker=FEMY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-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=change-in-inventory&ticker=FEMY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();