Haemonetics (HAE) Receivables - Net (2010 - 2026)
Haemonetics' Receivables - Net was $216.07 million in fiscal Q1 2027 (quarter ended Jun 27, 2026), up 7.6% from $200.75 million a year earlier but down 0.4% from the prior quarter.
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Analysis
Haemonetics (HAE) Receivables - Net (2010 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 28, 2026), Receivables - Net at Haemonetics came in at $216.86 million, up 7.0% from FY2025.
- Receivables - Net shows a five-year compound annual growth rate of 11.2% (FY2021 to FY2026).
- In earlier fiscal years, Receivables - Net was $202.66 million in FY2025 (-1.9%), $206.56 million in FY2024 (+15.3%), $179.14 million in FY2023 (+12.4%) and $159.38 million in FY2022 (+24.9%).
- Quarterly Receivables - Net has moved between $141.31 million (fiscal Q2 2022) and $216.86 million (fiscal Q4 2026) over five years.
- Compared with a year earlier, Receivables - Net was higher in four of the last eight quarters, with growth averaging 3.0%.
- The best year-over-year quarter for Receivables - Net over five years was fiscal Q4 2022 (growth of 24.9%); the worst was fiscal Q3 2026 (a decline of 7.7%).
- Per Business Quant data, HAE's Receivables - Net in the three fiscal quarters before Q1 2027 was $216.86 million (Q4 2026), $195.71 million (Q3 2026) and $207.07 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn |
| 10 | Haemonetics | 4.81 Bn | 3.69 Bn | 202.80 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 216.07 Mn |
| Mar 28, 2026 | 216.86 Mn |
| Dec 27, 2025 | 195.71 Mn |
| Sep 27, 2025 | 207.07 Mn |
| Jun 28, 2025 | 200.75 Mn |
| Mar 29, 2025 | 202.66 Mn |
| Dec 28, 2024 | 211.95 Mn |
| Sep 28, 2024 | 213.53 Mn |
| Jun 29, 2024 | 201.49 Mn |
| Mar 30, 2024 | 206.56 Mn |
| Dec 30, 2023 | 211.61 Mn |
| Sep 30, 2023 | 174.25 Mn |
| Jul 1, 2023 | 177.12 Mn |
| Apr 1, 2023 | 179.14 Mn |
| Dec 31, 2022 | 181.10 Mn |
| Oct 1, 2022 | 171.53 Mn |
| Jul 2, 2022 | 146.46 Mn |
| Apr 2, 2022 | 159.38 Mn |
| Jan 1, 2022 | 154.98 Mn |
| Oct 2, 2021 | 141.31 Mn |
API Access
Haemonetics Receivables - Net 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=receivables-net&ticker=HAE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables-net", "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=receivables-net&ticker=HAE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();