Haemonetics (HAE) Retained Earnings (2010 - 2026)
Haemonetics' Retained Earnings came in at $311.52 million for fiscal Q1 2027 (quarter ended Jun 27, 2026), down 12.5% from $356.05 million a year earlier but up 11.5% from the prior quarter.
Haemonetics (HAE) Retained Earnings (2010 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 28, 2026), Haemonetics' Retained Earnings was $279.34 million, down 20.7% from FY2025.
- Retained Earnings carries a five-year compound annual growth rate of 12.1% (FY2021 to FY2026).
- Going back by fiscal year, Retained Earnings was $352.17 million in FY2025 (-2.3%), $360.46 million in FY2024 (+42.4%), $253.17 million in FY2023 (+25.1%) and $202.39 million in FY2022 (+28.1%).
- The five-year range for quarterly Retained Earnings is $169.42 million (fiscal Q2 2022) to $392.23 million (fiscal Q3 2025).
- Year-over-year, Retained Earnings has declined for six consecutive quarters, with an average decline of 2.5% over the last eight quarters.
- The fastest year-over-year change in Retained Earnings over five years came in fiscal Q3 2024 (growth of 52.0%), and the weakest in fiscal Q4 2026 (a decline of 20.7%).
- Business Quant data shows HAE's Retained Earnings at $279.34 million (Q4 2026), $381.09 million (Q3 2026) and $336.32 million (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 257.99 Bn | 237.02 Bn | 4.88 Bn | 62.19 Bn |
| 2 | Abbott Laboratories | 175.01 Bn | 145.44 Bn | 7.27 Bn | 49.79 Bn |
| 3 | Danaher | 164.93 Bn | 148.74 Bn | 3.61 Bn | 48.23 Bn |
| 4 | Intuitive Surgical | 151.84 Bn | 131.26 Bn | 1.96 Bn | 6.84 Bn |
| 5 | Medtronic | 119.05 Bn | 84.30 Bn | 6.34 Bn | 33.19 Bn |
| 6 | Stryker | 113.89 Bn | 100.00 Bn | 4.50 Bn | 21.82 Bn |
| 7 | Boston Scientific | 65.37 Bn | 60.13 Bn | 3.85 Bn | 7.82 Bn |
| 8 | Becton Dickinson | 53.36 Bn | 50.51 Bn | 2.32 Bn | 17.51 Bn |
| 9 | Edwards Lifesciences | 50.83 Bn | 34.83 Bn | 1.35 Bn | 14.86 Bn |
| 10 | Haemonetics | 5.31 Bn | 4.18 Bn | 202.80 Mn | 311.52 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 311.52 Mn |
| Mar 28, 2026 | 279.34 Mn |
| Dec 27, 2025 | 381.09 Mn |
| Sep 27, 2025 | 336.32 Mn |
| Jun 28, 2025 | 356.05 Mn |
| Mar 29, 2025 | 352.17 Mn |
| Dec 28, 2024 | 392.23 Mn |
| Sep 28, 2024 | 368.54 Mn |
| Jun 29, 2024 | 386.64 Mn |
| Mar 30, 2024 | 360.46 Mn |
| Dec 30, 2023 | 340.10 Mn |
| Sep 30, 2023 | 308.90 Mn |
| Jul 1, 2023 | 284.02 Mn |
| Apr 1, 2023 | 253.17 Mn |
| Dec 31, 2022 | 223.79 Mn |
| Oct 1, 2022 | 204.36 Mn |
| Jul 2, 2022 | 222.27 Mn |
| Apr 2, 2022 | 202.39 Mn |
| Jan 1, 2022 | 192.65 Mn |
| Oct 2, 2021 | 169.42 Mn |
Haemonetics Retained Earnings 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=retained-earnings&ticker=HAE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "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=retained-earnings&ticker=HAE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();