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.
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Analysis
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 Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn | 7.11 Bn |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn | 5.33 Bn |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn | 2.65 Bn |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn | 931.90 Mn |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn | 3.42 Bn |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn | 2.09 Bn |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn | 1.59 Bn |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn | 392.40 Mn |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn | 2.67 Bn |
| 10 | Femasys | 6.20 Mn | -14.47 Mn | 189,391.00 | 142,436.00 |
Historic Data
Download Data
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 |
API Access
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_KEYimport 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();