Harvard Bioscience (HBIO) Total Non-Current Liabilities (2010 - 2026)
Harvard Bioscience's Total Non-Current Liabilities came in at $67.71 million for Q2 2026, up 7.6% from $62.93 million a year earlier and up 1.4% from the prior quarter.
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Analysis
Harvard Bioscience (HBIO) Total Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Harvard Bioscience's Total Non-Current Liabilities was $65.03 million, up 4.8% from FY2024.
- Total Non-Current Liabilities carries a five-year compound annual growth rate of -3.3% (FY2020 to FY2025).
- Going back by year, Total Non-Current Liabilities was $62.05 million in FY2024 (-1.2%), $62.82 million in FY2023 (-12.9%), $72.13 million in FY2022 (-8.1%) and $78.46 million in FY2021 (+2.3%).
- The Q2 2026 figure represents the highest quarterly Total Non-Current Liabilities since Q1 2023.
- Year-over-year, Total Non-Current Liabilities has increased for three consecutive quarters, with growth averaging 2.3% over the last eight quarters.
- The fastest year-over-year change in Total Non-Current Liabilities over five years came in Q1 2022 (growth of 13.7%), and the weakest in Q2 2023 (a decline of 14.1%).
- Business Quant data shows HBIO's Total Non-Current Liabilities at $66.75 million (Q1 2026), $65.03 million (Q4 2025) and $62.46 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 257.34 Bn | 236.36 Bn | 4.88 Bn | 55.95 Bn |
| 2 | Abbott Laboratories | 172.25 Bn | 142.68 Bn | 7.27 Bn | - |
| 3 | Danaher | 163.26 Bn | 147.07 Bn | 3.61 Bn | 33.25 Bn |
| 4 | Intuitive Surgical | 151.09 Bn | 130.52 Bn | 1.96 Bn | - |
| 5 | Medtronic | 118.69 Bn | 83.94 Bn | 6.34 Bn | 38.93 Bn |
| 6 | Stryker | 113.17 Bn | 99.29 Bn | 4.50 Bn | 20.88 Bn |
| 7 | Boston Scientific | 64.87 Bn | 59.64 Bn | 3.85 Bn | 17.56 Bn |
| 8 | Becton Dickinson | 53.31 Bn | 50.46 Bn | 2.32 Bn | 23.92 Bn |
| 9 | Edwards Lifesciences | 50.63 Bn | 34.64 Bn | 1.35 Bn | 2.19 Bn |
| 10 | Harvard Bioscience | 36.98 Mn | 7.95 Mn | 12.63 Mn | 67.71 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 67.71 Mn |
| Mar 31, 2026 | 66.75 Mn |
| Dec 31, 2025 | 65.03 Mn |
| Sep 30, 2025 | 62.46 Mn |
| Jun 30, 2025 | 62.93 Mn |
| Mar 31, 2025 | 63.55 Mn |
| Dec 31, 2024 | 62.05 Mn |
| Sep 30, 2024 | 64.42 Mn |
| Jun 30, 2024 | 60.06 Mn |
| Mar 31, 2024 | 62.90 Mn |
| Dec 31, 2023 | 62.82 Mn |
| Sep 30, 2023 | 64.56 Mn |
| Jun 30, 2023 | 66.47 Mn |
| Mar 31, 2023 | 69.78 Mn |
| Dec 31, 2022 | 72.13 Mn |
| Sep 30, 2022 | 74.61 Mn |
| Jun 30, 2022 | 77.35 Mn |
| Mar 31, 2022 | 81.07 Mn |
| Dec 31, 2021 | 78.46 Mn |
| Sep 30, 2021 | 74.51 Mn |
API Access
Harvard Bioscience Total Non-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-non-current-liabilities&ticker=HBIO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-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-non-current-liabilities&ticker=HBIO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();