Femasys (FEMY) Payables (2020 - 2026)
Femasys' Payables came in at $2.34 million for Q2 2026, down 75.0% from $9.34 million a year earlier but up 46.3% from the prior quarter.
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Analysis
Femasys (FEMY) Payables (2020 - 2026) Analysis & Trends
At the end of FY2025, Femasys' Payables was $1.83 million, down 73.2% from FY2024.
- Payables carries a five-year compound annual growth rate of 7.0% (FY2020 to FY2025).
- Going back by year, Payables was $6.83 million in FY2024 (+499.9%), $1.14 million in FY2023 (+74.5%), $652,056 in FY2022 (+4.1%) and $626,645 in FY2021 (-52.0%).
- The five-year range for quarterly Payables is $526,764 (Q1 2023) to $9.34 million (Q2 2025).
- Year-over-year, Payables has declined for three consecutive quarters, with growth averaging 238.7% over the last eight quarters.
- The fastest year-over-year change in Payables over five years came in Q2 2025 (growth of 882.1%), and the weakest in Q1 2026 (a decline of 80.3%).
- Business Quant data shows FEMY's Payables at $1.6 million (Q1 2026), $1.83 million (Q4 2025) and $2.45 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 3.27 Bn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 5.89 Bn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 1.82 Bn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | 277.20 Mn |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 2.70 Bn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 2.00 Bn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 1.23 Bn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 210.50 Mn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 6.11 Bn |
| 10 | Femasys | 6.32 Mn | -14.34 Mn | 189,391.00 | 2.34 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.34 Mn |
| Mar 31, 2026 | 1.60 Mn |
| Dec 31, 2025 | 1.83 Mn |
| Sep 30, 2025 | 2.45 Mn |
| Jun 30, 2025 | 9.34 Mn |
| Mar 31, 2025 | 8.09 Mn |
| Dec 31, 2024 | 6.83 Mn |
| Sep 30, 2024 | 1.12 Mn |
| Jun 30, 2024 | 951,510.00 |
| Mar 31, 2024 | 1.10 Mn |
| Dec 31, 2023 | 1.14 Mn |
| Sep 30, 2023 | 1.14 Mn |
| Jun 30, 2023 | 546,877.00 |
| Mar 31, 2023 | 526,764.00 |
| Dec 31, 2022 | 652,056.00 |
| Sep 30, 2022 | 699,687.00 |
| Jun 30, 2022 | 846,166.00 |
| Mar 31, 2022 | 594,043.00 |
| Dec 31, 2021 | 626,645.00 |
| Sep 30, 2021 | 757,756.00 |
API Access
Femasys Payables 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=payables&ticker=FEMY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "payables", "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=payables&ticker=FEMY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();