Analysts expect Femasys Inc to report revenue of 789,987.31 for Q3 26, against a range of 721,235.50 to 858,739.12. The most recent reported quarter, Q2 26, came in at 331,830.00, a 56.0% miss against the 753,905.31 consensus.
| Metric | Q3 24 | Q4 24 | Q1 25 | Q2 25 | Q3 25 | Q4 25 | Q1 26 | Q2 26 | Q3 26 | Q4 26 | Q1 27 | Q2 27 | Q3 27 | Q4 27 | Q1 28 | Q2 28 | Q3 28 | Q4 28 | Q1 29 | Q2 29 | Q3 29 | Q4 29 | Q1 30 | Q2 30 | Q3 30 | Q4 30 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Reported (Actual) | 554,910.00 | 582,110.00 | 341,260.00 | 409,270.00 | 729,390.00 | 814,310.00 | 424,890.00 | 331,830.00 | - | - | - | - | - | - | - | - | ||||||||||
| High Estimate | 693,842.62 | 1.69 M | 1.31 M | 1.03 M | 1.47 M | 1.22 M | 865,077.91 | 818,086.78 | 858,739.12 | 998,018.32 | 2.01 M | 2.04 M | 3.21 M | 2.81 M | 3.47 M | 4.25 M | ||||||||||
| Low Estimate | 600,208.94 | 1.50 M | 1.11 M | 925,763.22 | 1.36 M | 1.04 M | 775,657.81 | 689,723.84 | 721,235.50 | 870,520.44 | 1.70 M | 1.82 M | 2.70 M | 2.55 M | 2.93 M | 3.79 M | ||||||||||
| Consensus Estimate | 647,025.78 | 1.60 M | 1.21 M | 978,705.30 | 1.42 M | 1.13 M | 820,367.86 | 753,905.31 | 789,987.31 | 934,269.38 | 1.86 M | 1.93 M | 2.96 M | 2.68 M | 3.20 M | 4.02 M |
Analysts expect Femasys Inc to report earnings per share of -0.45 for Q3 26, against a range of -0.48 to -0.42. The most recent reported quarter, Q2 26, came in at -1.33, a 4.3% beat against the -1.39 consensus.
| Metric | Q3 24 | Q4 24 | Q1 25 | Q2 25 | Q3 25 | Q4 25 | Q1 26 | Q2 26 | Q3 26 | Q4 26 | Q1 27 | Q2 27 | Q3 27 | Q4 27 | Q1 28 | Q2 28 | Q3 28 | Q4 28 | Q1 29 | Q2 29 | Q3 29 | Q4 29 | Q1 30 | Q2 30 | Q3 30 | Q4 30 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Reported (Actual) | -4.80 | -4.60 | -4.60 | -3.20 | -2.00 | -1.25 | 0.00 | -1.33 | - | - | - | - | - | - | - | - | ||||||||||
| High Estimate | -3.85 | -3.69 | -3.85 | -2.92 | -2.34 | -1.49 | -1.19 | -1.29 | -0.42 | -0.46 | -0.38 | -0.34 | 0.54 | 0.60 | -0.55 | -0.88 | ||||||||||
| Low Estimate | -4.53 | -4.13 | -4.37 | -3.28 | -2.54 | -1.71 | -1.31 | -1.49 | -0.48 | -0.50 | -0.40 | -0.36 | 0.50 | 0.50 | -0.67 | -0.94 | ||||||||||
| Consensus Estimate | -4.19 | -3.91 | -4.11 | -3.10 | -2.44 | -1.60 | -1.25 | -1.39 | -0.45 | -0.48 | -0.39 | -0.35 | 0.52 | 0.55 | -0.61 | -0.91 |
Pull Wall Street consensus for Femasys Inc (high, low and consensus estimates alongside reported actuals) into your own models and apps with the Business Quant Estimates API. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/estimates?ticker=FEMY&mode=revenue&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/estimates"
params = {"ticker": "FEMY", "mode": "revenue", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/estimates?ticker=FEMY&mode=revenue&api_key=YOUR_API_KEY");
const data = await res.json();