Harvard Bioscience (HBIO) Payables (2010 - 2026)
Harvard Bioscience (HBIO) posted Payables of $6.22 million for Q2 2026, up 31.8% from $4.72 million a year earlier and up 17.7% from the prior quarter.
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Analysis
Harvard Bioscience (HBIO) Payables (2010 - 2026) Analysis & Trends
At the end of FY2025, Harvard Bioscience's Payables came in at $3.65 million, down 23.7% from FY2024.
- Annual Payables has declined for three consecutive years, with a five-year compound annual growth rate of -9.4% (FY2020 to FY2025).
- In prior years, Harvard Bioscience's Payables was $4.79 million in FY2024 (-13.8%), $5.55 million in FY2023 (-13.9%), $6.45 million in FY2022 (+31.3%) and $4.91 million in FY2021 (-17.8%).
- The Q2 2026 figure stands as the highest quarterly Payables since Q3 2023.
- On a year-over-year basis, Payables increased in two of the last eight quarters, with an average decline of 6.4%.
- The strongest year-over-year quarter for Payables in the past five years was Q2 2026, with growth of 31.8%; the weakest was Q2 2023, with a decline of 30.7%.
- According to Business Quant data, Payables for the three prior quarters was $5.29 million (Q1 2026), $3.65 million (Q4 2025) and $5.18 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 265.71 Bn | 242.23 Bn | 5.13 Bn | 3.09 Bn |
| 2 | Abbott Laboratories | 189.37 Bn | 163.23 Bn | 7.39 Bn | 5.75 Bn |
| 3 | Danaher | 164.78 Bn | 144.43 Bn | 3.84 Bn | 1.74 Bn |
| 4 | Intuitive Surgical | 157.85 Bn | 138.13 Bn | 2.08 Bn | 279.50 Mn |
| 5 | Medtronic | 129.66 Bn | 94.91 Bn | 6.34 Bn | 2.70 Bn |
| 6 | Stryker | 121.82 Bn | 108.01 Bn | 4.25 Bn | 1.97 Bn |
| 7 | Boston Scientific | 63.42 Bn | 58.86 Bn | 3.43 Bn | 1.25 Bn |
| 8 | Edwards Lifesciences | 59.49 Bn | 42.69 Bn | 1.35 Bn | 199.70 Mn |
| 9 | Becton Dickinson | 58.38 Bn | 55.53 Bn | 2.32 Bn | 6.11 Bn |
| 10 | Harvard Bioscience | 40.73 Mn | 11.70 Mn | 12.63 Mn | 6.22 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.22 Mn |
| Mar 31, 2026 | 5.29 Mn |
| Dec 31, 2025 | 3.65 Mn |
| Sep 30, 2025 | 5.18 Mn |
| Jun 30, 2025 | 4.72 Mn |
| Mar 31, 2025 | 4.81 Mn |
| Dec 31, 2024 | 4.79 Mn |
| Sep 30, 2024 | 5.28 Mn |
| Jun 30, 2024 | 5.71 Mn |
| Mar 31, 2024 | 6.04 Mn |
| Dec 31, 2023 | 5.55 Mn |
| Sep 30, 2023 | 6.27 Mn |
| Jun 30, 2023 | 4.72 Mn |
| Mar 31, 2023 | 5.98 Mn |
| Dec 31, 2022 | 6.45 Mn |
| Sep 30, 2022 | 5.88 Mn |
| Jun 30, 2022 | 6.81 Mn |
| Mar 31, 2022 | 6.22 Mn |
| Dec 31, 2021 | 4.91 Mn |
| Sep 30, 2021 | 5.62 Mn |
API Access
Harvard Bioscience Payables 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=payables&ticker=HBIO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "payables", "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=payables&ticker=HBIO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();