Harvard Bioscience (HBIO) Receivables - Net (2010 - 2026)
Harvard Bioscience (HBIO) posted Receivables - Net of $14.5 million for Q2 2026, up 21.5% from $11.94 million a year earlier but down 0.5% from the prior quarter.
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Analysis
Harvard Bioscience (HBIO) Receivables - Net (2010 - 2026) Analysis & Trends
At the end of FY2025, Harvard Bioscience's Receivables - Net came in at $16.04 million, up 7.9% from FY2024.
- Annual Receivables - Net shows a five-year compound annual growth rate of -2.0% (FY2020 to FY2025).
- In prior years, Harvard Bioscience's Receivables - Net was $14.87 million in FY2024 (-7.7%), $16.1 million in FY2023 (-3.6%), $16.71 million in FY2022 (-23.5%) and $21.83 million in FY2021 (+22.9%).
- Quarterly Receivables - Net has run from a low of $11.94 million in Q2 2025 to a high of $21.83 million in Q4 2021 over five years.
- On a year-over-year basis, Receivables - Net has increased in each of the last three quarters, with an average decline of 0.8% over the last eight quarters.
- The strongest year-over-year quarter for Receivables - Net in the past five years was Q3 2021, with growth of 32.1%; the weakest was Q2 2024, with a decline of 26.1%.
- According to Business Quant data, Receivables - Net for the three prior quarters was $14.57 million (Q1 2026), $16.04 million (Q4 2025) and $12.11 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 257.84 Bn | 236.87 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 172.03 Bn | 142.46 Bn | 7.27 Bn |
| 3 | Danaher | 163.78 Bn | 147.59 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 152.26 Bn | 131.68 Bn | 1.96 Bn |
| 5 | Medtronic | 119.57 Bn | 84.82 Bn | 6.34 Bn |
| 6 | Stryker | 114.03 Bn | 100.15 Bn | 4.50 Bn |
| 7 | Boston Scientific | 65.44 Bn | 60.21 Bn | 3.85 Bn |
| 8 | Becton Dickinson | 53.62 Bn | 50.77 Bn | 2.32 Bn |
| 9 | Edwards Lifesciences | 50.94 Bn | 34.94 Bn | 1.35 Bn |
| 10 | Harvard Bioscience | 36.98 Mn | 7.95 Mn | 12.63 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 14.50 Mn |
| Mar 31, 2026 | 14.57 Mn |
| Dec 31, 2025 | 16.04 Mn |
| Sep 30, 2025 | 12.11 Mn |
| Jun 30, 2025 | 11.94 Mn |
| Mar 31, 2025 | 13.48 Mn |
| Dec 31, 2024 | 14.87 Mn |
| Sep 30, 2024 | 12.83 Mn |
| Jun 30, 2024 | 12.49 Mn |
| Mar 31, 2024 | 15.31 Mn |
| Dec 31, 2023 | 16.10 Mn |
| Sep 30, 2023 | 14.98 Mn |
| Jun 30, 2023 | 16.90 Mn |
| Mar 31, 2023 | 17.74 Mn |
| Dec 31, 2022 | 16.71 Mn |
| Sep 30, 2022 | 15.02 Mn |
| Jun 30, 2022 | 17.85 Mn |
| Mar 31, 2022 | 20.27 Mn |
| Dec 31, 2021 | 21.83 Mn |
| Sep 30, 2021 | 18.34 Mn |
API Access
Harvard Bioscience 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=HBIO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables-net", "ticker": "HBIO", "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=HBIO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();