Haemonetics (HAE) EPS (Diluted) (2009 - 2026)
Haemonetics (HAE) reported EPS (Diluted) of $0.72 for fiscal Q1 2027 (quarter ended Jun 27, 2026), up 2.6% from $0.70 a year earlier.
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Analysis
Haemonetics (HAE) EPS (Diluted) (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 27, 2026, Haemonetics' EPS (Diluted) came in at $2.11, down 37.6% year-over-year; for FY2026 (ended Mar 28, 2026), it came in at $2.05, down 37.8% from FY2025.
- EPS (Diluted) has a five-year compound annual growth rate of 5.8% (FY2021 to FY2026).
- By fiscal year, EPS (Diluted) came in at $3.31 in FY2025 (+44.5%), $2.29 in FY2024 (+1.9%), $2.24 in FY2023 (+165.7%) and $0.84 in FY2022 (-45.5%).
- Five-year quarterly EPS (Diluted) spans a low of -$0.43 in fiscal Q4 2026 and a high of $1.14 in fiscal Q4 2025.
- Year over year, EPS (Diluted) gained in six of the last seven quarters, with growth averaging 42.2%.
- The high point for year-over-year EPS (Diluted) in five years was fiscal Q4 2023 (growth of 201.2%); the low point was fiscal Q2 2022 (a decline of 69.3%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at -$0.43 (Q4 2026), $0.95 (Q3 2026) and $0.81 (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 260.30 Bn | 239.33 Bn | 4.88 Bn | 4.68 |
| 2 | Abbott Laboratories | 170.90 Bn | 141.33 Bn | 7.27 Bn | 0.53 |
| 3 | Danaher | 164.81 Bn | 148.62 Bn | 3.61 Bn | 1.23 |
| 4 | Intuitive Surgical | 152.46 Bn | 131.89 Bn | 1.96 Bn | 2.29 |
| 5 | Medtronic | 119.28 Bn | 84.53 Bn | 6.34 Bn | 1.14 |
| 6 | Stryker | 112.91 Bn | 99.03 Bn | 4.50 Bn | 3.31 |
| 7 | Boston Scientific | 64.87 Bn | 59.63 Bn | 3.85 Bn | 0.61 |
| 8 | Becton Dickinson | 53.24 Bn | 50.39 Bn | 2.32 Bn | 1.37 |
| 9 | Edwards Lifesciences | 50.42 Bn | 34.43 Bn | 1.35 Bn | 0.42 |
| 10 | Haemonetics | 5.35 Bn | 4.22 Bn | 202.80 Mn | 0.72 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 0.72 |
| Mar 28, 2026 | -0.43 |
| Dec 27, 2025 | 0.95 |
| Sep 27, 2025 | 0.81 |
| Jun 28, 2025 | 0.70 |
| Mar 29, 2025 | 1.14 |
| Dec 28, 2024 | 0.74 |
| Sep 28, 2024 | 0.66 |
| Jun 29, 2024 | 0.74 |
| Mar 30, 2024 | 0.40 |
| Dec 30, 2023 | 0.61 |
| Sep 30, 2023 | 0.48 |
| Jul 1, 2023 | 0.80 |
| Apr 1, 2023 | 0.57 |
| Dec 31, 2022 | 0.64 |
| Oct 1, 2022 | 0.64 |
| Jul 2, 2022 | 0.38 |
| Apr 2, 2022 | 0.19 |
| Jan 1, 2022 | 0.45 |
| Oct 2, 2021 | 0.29 |
API Access
Haemonetics EPS (Diluted) 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=eps-diluted&ticker=HAE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "ticker": "HAE", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=eps-diluted&ticker=HAE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();