Femasys (FEMY) Cost of Revenue (2020 - 2026)
Femasys' Cost of Revenue came in at $142,436 for Q2 2026, down 9.9% from $158,171 a year earlier.
Femasys (FEMY) Cost of Revenue (2020 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Femasys reported Cost of Revenue of $610,280, down 7.3% year-over-year; for FY2025, it was $872,400, up 60.1% from FY2024.
- Cost of Revenue carries a five-year compound annual growth rate of 23.3% (FY2020 to FY2025).
- Going back by year, Cost of Revenue was $544,903 in FY2024 (+43.4%), $380,069 in FY2023 (-14.0%), $441,938 in FY2022 (+19.3%) and $370,384 in FY2021 (+20.8%).
- The Q2 2026 figure represents the lowest quarterly Cost of Revenue since Q1 2025.
- Year-over-year, Cost of Revenue increased in four of the last five quarters, with growth averaging 81.2%.
- The fastest year-over-year change in Cost of Revenue over five years came in Q4 2024 (growth of 145.7%), and the weakest in Q3 2023 (a decline of 34.4%).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 267.71 Bn | 244.23 Bn | 5.13 Bn | 7.01 Bn |
| 2 | Abbott Laboratories | 191.69 Bn | 165.56 Bn | 7.39 Bn | 5.63 Bn |
| 3 | Danaher | 166.18 Bn | 145.83 Bn | 3.84 Bn | 2.72 Bn |
| 4 | Intuitive Surgical | 161.07 Bn | 141.36 Bn | 2.08 Bn | 964.40 Mn |
| 5 | Medtronic | 131.65 Bn | 96.90 Bn | 6.34 Bn | 3.42 Bn |
| 6 | Stryker | 125.25 Bn | 111.44 Bn | 4.25 Bn | 2.27 Bn |
| 7 | Boston Scientific | 63.85 Bn | 59.29 Bn | 3.43 Bn | 1.71 Bn |
| 8 | Edwards Lifesciences | 60.52 Bn | 43.72 Bn | 1.35 Bn | 369.20 Mn |
| 9 | Becton Dickinson | 59.08 Bn | 56.23 Bn | 2.32 Bn | 2.67 Bn |
| 10 | Femasys | 4.87 Mn | -15.80 Mn | 189,391.00 | 142,436.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 142,436.00 |
| Jun 30, 2025 | 158,171.00 |
| Mar 31, 2025 | 117,266.00 |
| Dec 31, 2024 | 192,407.00 |
| Sep 30, 2024 | 190,839.00 |
| Jun 30, 2024 | 73,125.00 |
| Mar 31, 2024 | 88,532.00 |
| Dec 31, 2023 | 78,294.00 |
| Sep 30, 2023 | 86,186.00 |
| Jun 30, 2023 | 110,469.00 |
| Mar 31, 2023 | 105,120.00 |
| Dec 31, 2022 | 85,459.00 |
| Sep 30, 2022 | 131,451.00 |
| Jun 30, 2022 | 102,353.00 |
| Mar 31, 2022 | 122,675.00 |
| Dec 31, 2021 | 64,312.00 |
| Sep 30, 2021 | 105,403.00 |
| Jun 30, 2021 | 107,627.00 |
| Mar 31, 2021 | 93,042.00 |
| Dec 31, 2020 | 87,635.00 |
Femasys Cost of Revenue 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=cost-of-revenue&ticker=FEMY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=FEMY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();