Harvard Apparatus Regenerative Technology (HRGN) Total Liabilities (2012 - 2026)
Harvard Apparatus Regenerative Technology (HRGN) posted Total Liabilities of $3.06 million for Q2 2026, up 122.7% from $1.38 million a year earlier and up 79.6% from the prior quarter.
Harvard Apparatus Regenerative Technology (HRGN) Total Liabilities (2012 - 2026) Analysis & Trends
At the end of FY2025, Harvard Apparatus Regenerative Technology's Total Liabilities came in at $1.62 million, up 32.8% from FY2024.
- Annual Total Liabilities shows a five-year compound annual growth rate of 11.2% (FY2020 to FY2025).
- In prior years, Harvard Apparatus Regenerative Technology's Total Liabilities was $1.22 million in FY2024 (+26.0%), $968,000 in FY2023 (-82.7%), $5.59 million in FY2022 (+14.2%) and $4.9 million in FY2021 (+414.7%).
- The Q2 2026 figure stands as the highest quarterly Total Liabilities since Q2 2024.
- On a year-over-year basis, Total Liabilities has increased in each of the last three quarters, with growth averaging 9.1% over the last eight quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q3 2022, with growth of 970.7%; the weakest was Q4 2023, with a decline of 82.7%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $1.71 million (Q1 2026), $1.62 million (Q4 2025) and $992,000 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | 108.40 Bn |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 116.09 Bn |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 141.05 Bn |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | 87.82 Bn |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | 80.09 Bn |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | 65.46 Bn |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 83.95 Bn |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | 37.53 Bn |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | 115.64 Bn |
| 10 | Harvard Apparatus Regenerative Technology | 38.50 Mn | 35.01 Mn | 23,000.00 | 3.06 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.06 Mn |
| Mar 31, 2026 | 1.71 Mn |
| Dec 31, 2025 | 1.62 Mn |
| Sep 30, 2025 | 992,000.00 |
| Jun 30, 2025 | 1.38 Mn |
| Mar 31, 2025 | 1.37 Mn |
| Dec 31, 2024 | 1.22 Mn |
| Sep 30, 2024 | 1.47 Mn |
| Jun 30, 2024 | 4.73 Mn |
| Mar 31, 2024 | 4.27 Mn |
| Dec 31, 2023 | 968,000.00 |
| Sep 30, 2023 | 1.07 Mn |
| Jun 30, 2023 | 1.99 Mn |
| Mar 31, 2023 | 5.40 Mn |
| Dec 31, 2022 | 5.59 Mn |
| Sep 30, 2022 | 5.55 Mn |
| Jun 30, 2022 | 6.16 Mn |
| Mar 31, 2022 | 9.14 Mn |
| Dec 31, 2021 | 4.90 Mn |
| Sep 30, 2021 | 518,000.00 |
Harvard Apparatus Regenerative Technology Total 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-liabilities&ticker=HRGN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "HRGN", "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-liabilities&ticker=HRGN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();