Harvard Bioscience (HBIO) Cash & Equivalents (2010 - 2026)
Harvard Bioscience (HBIO) posted Cash & Equivalents of $6.5 million for Q2 2026, down 12.6% from $7.44 million a year earlier and down 8.4% from the prior quarter.
Harvard Bioscience (HBIO) Cash & Equivalents (2010 - 2026) Analysis & Trends
At the end of FY2025, Harvard Bioscience's Cash & Equivalents came in at $8.61 million, up 109.7% from FY2024.
- Annual Cash & Equivalents shows a five-year compound annual growth rate of 0.7% (FY2020 to FY2025).
- In prior years, Harvard Bioscience's Cash & Equivalents was $4.11 million in FY2024 (-4.1%), $4.28 million in FY2023 (-5.0%), $4.51 million in FY2022 (-42.4%) and $7.82 million in FY2021 (-6.0%).
- The Q2 2026 figure stands as the lowest quarterly Cash & Equivalents since Q1 2025.
- On a year-over-year basis, Cash & Equivalents increased in five of the last eight quarters, with growth averaging 33.7%.
- The strongest year-over-year quarter for Cash & Equivalents in the past five years was Q4 2025, with growth of 109.7%; the weakest was Q4 2022, with a decline of 42.4%.
- According to Business Quant data, Cash & Equivalents for the three prior quarters was $7.1 million (Q1 2026), $8.61 million (Q4 2025) and $6.82 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.17 Bn | 228.32 Bn | 4.88 Bn | 4.06 Bn |
| 2 | Abbott Laboratories | 179.42 Bn | 150.51 Bn | 7.27 Bn | 5.10 Bn |
| 3 | Danaher | 161.98 Bn | 145.80 Bn | 3.61 Bn | 4.35 Bn |
| 4 | Intuitive Surgical | 156.76 Bn | 137.18 Bn | 2.08 Bn | 2.98 Bn |
| 5 | Medtronic | 122.13 Bn | 88.00 Bn | 6.34 Bn | 1.69 Bn |
| 6 | Stryker | 117.84 Bn | 103.96 Bn | 4.50 Bn | 3.39 Bn |
| 7 | Boston Scientific | 66.19 Bn | 61.20 Bn | 3.85 Bn | 539.00 Mn |
| 8 | Becton Dickinson | 54.16 Bn | 51.31 Bn | 2.32 Bn | 708.00 Mn |
| 9 | Edwards Lifesciences | 51.35 Bn | 35.47 Bn | 1.35 Bn | 2.91 Bn |
| 10 | Harvard Bioscience | 37.47 Mn | 8.43 Mn | 12.63 Mn | 6.50 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.50 Mn |
| Mar 31, 2026 | 7.10 Mn |
| Dec 31, 2025 | 8.61 Mn |
| Sep 30, 2025 | 6.82 Mn |
| Jun 30, 2025 | 7.44 Mn |
| Mar 31, 2025 | 5.55 Mn |
| Dec 31, 2024 | 4.11 Mn |
| Sep 30, 2024 | 4.57 Mn |
| Jun 30, 2024 | 4.05 Mn |
| Mar 31, 2024 | 4.26 Mn |
| Dec 31, 2023 | 4.28 Mn |
| Sep 30, 2023 | 5.34 Mn |
| Jun 30, 2023 | 4.32 Mn |
| Mar 31, 2023 | 3.79 Mn |
| Dec 31, 2022 | 4.51 Mn |
| Sep 30, 2022 | 5.14 Mn |
| Jun 30, 2022 | 4.26 Mn |
| Mar 31, 2022 | 5.43 Mn |
| Dec 31, 2021 | 7.82 Mn |
| Sep 30, 2021 | 5.55 Mn |
Harvard Bioscience Cash & Equivalents 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=cash-and-equivalents&ticker=HBIO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=HBIO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();