Harvard Bioscience (HBIO) Total Current Liabilities (2010 - 2026)
Harvard Bioscience's Total Current Liabilities came in at $24.79 million for Q2 2026, down 55.1% from $55.2 million a year earlier but up 3.9% from the prior quarter.
Harvard Bioscience (HBIO) Total Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Harvard Bioscience's Total Current Liabilities was $21.96 million, down 60.0% from FY2024.
- Total Current Liabilities carries a five-year compound annual growth rate of 0.8% (FY2020 to FY2025).
- Going back by year, Total Current Liabilities was $54.96 million in FY2024 (+107.1%), $26.54 million in FY2023 (+14.2%), $23.25 million in FY2022 (-8.2%) and $25.32 million in FY2021 (+20.2%).
- The five-year range for quarterly Total Current Liabilities is $21.36 million (Q3 2022) to $55.6 million (Q1 2025).
- Year-over-year, Total Current Liabilities has declined for three consecutive quarters, with growth averaging 41.1% over the last eight quarters.
- The fastest year-over-year change in Total Current Liabilities over five years came in Q2 2025 (growth of 144.0%), and the weakest in Q4 2025 (a decline of 60.0%).
- Business Quant data shows HBIO's Total Current Liabilities at $23.86 million (Q1 2026), $21.96 million (Q4 2025) and $54.4 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 255.98 Bn | 235.01 Bn | 4.88 Bn | 15.07 Bn |
| 2 | Abbott Laboratories | 172.60 Bn | 143.03 Bn | 7.27 Bn | 17.81 Bn |
| 3 | Danaher | 160.98 Bn | 144.79 Bn | 3.61 Bn | 8.11 Bn |
| 4 | Intuitive Surgical | 147.87 Bn | 127.30 Bn | 1.96 Bn | 1.92 Bn |
| 5 | Medtronic | 120.22 Bn | 85.48 Bn | 6.34 Bn | 11.80 Bn |
| 6 | Stryker | 113.90 Bn | 100.02 Bn | 4.50 Bn | 6.68 Bn |
| 7 | Boston Scientific | 65.66 Bn | 60.43 Bn | 3.85 Bn | 6.43 Bn |
| 8 | Becton Dickinson | 53.16 Bn | 50.31 Bn | 2.32 Bn | 9.40 Bn |
| 9 | Edwards Lifesciences | 50.31 Bn | 34.32 Bn | 1.35 Bn | 1.51 Bn |
| 10 | Harvard Bioscience | 37.83 Mn | 8.80 Mn | 12.63 Mn | 24.79 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 24.79 Mn |
| Mar 31, 2026 | 23.86 Mn |
| Dec 31, 2025 | 21.96 Mn |
| Sep 30, 2025 | 54.40 Mn |
| Jun 30, 2025 | 55.20 Mn |
| Mar 31, 2025 | 55.60 Mn |
| Dec 31, 2024 | 54.96 Mn |
| Sep 30, 2024 | 22.75 Mn |
| Jun 30, 2024 | 22.62 Mn |
| Mar 31, 2024 | 25.68 Mn |
| Dec 31, 2023 | 26.54 Mn |
| Sep 30, 2023 | 24.21 Mn |
| Jun 30, 2023 | 22.94 Mn |
| Mar 31, 2023 | 23.22 Mn |
| Dec 31, 2022 | 23.25 Mn |
| Sep 30, 2022 | 21.36 Mn |
| Jun 30, 2022 | 23.35 Mn |
| Mar 31, 2022 | 27.23 Mn |
| Dec 31, 2021 | 25.32 Mn |
| Sep 30, 2021 | 23.51 Mn |
Harvard Bioscience Total Current Liabilities 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=total-current-liabilities&ticker=HBIO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "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=total-current-liabilities&ticker=HBIO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();