Harvard Apparatus Regenerative Technology (HRGN) Total Non-Current Liabilities (2016 - 2022)
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Analysis
Harvard Apparatus Regenerative Technology (HRGN) Total Non-Current Liabilities (2016 - 2022) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,359.75 Bn | 1,333.37 Bn | 20.46 Bn | 60.81 Bn |
| 2 | Johnson & Johnson | 688.76 Bn | 608.62 Bn | 17.30 Bn | 102.65 Bn |
| 3 | AbbVie | 521.69 Bn | 489.75 Bn | 13.12 Bn | 117.60 Bn |
| 4 | Merck | 364.31 Bn | 327.31 Bn | 13.19 Bn | 79.95 Bn |
| 5 | Novartis Ag | 306.35 Bn | 279.93 Bn | - | - |
| 6 | Astrazeneca | 285.96 Bn | 259.56 Bn | 13.26 Bn | -36.84 Bn |
| 7 | Amgen | 251.88 Bn | 203.53 Bn | 7.58 Bn | 76.12 Bn |
| 8 | Gilead Sciences | 208.59 Bn | 183.61 Bn | 6.73 Bn | 36.05 Bn |
| 9 | Pfizer | 164.73 Bn | 112.38 Bn | 12.56 Bn | 96.04 Bn |
| 10 | Harvard Apparatus Regenerative Technology | 2.32 Mn | -1.70 Mn | 12,000.00 | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2022 | 9.14 Mn |
| Dec 31, 2021 | 4.89 Mn |
| Sep 30, 2021 | 487,000.00 |
| Jun 30, 2021 | 382,000.00 |
| Mar 31, 2021 | 861,000.00 |
| Dec 31, 2020 | 934,000.00 |
| Sep 30, 2020 | 983,000.00 |
| Jun 30, 2020 | 1.10 Mn |
| Mar 31, 2020 | 937,000.00 |
| Dec 31, 2019 | 870,000.00 |
| Sep 30, 2019 | 838,000.00 |
| Jun 30, 2019 | 831,000.00 |
| Mar 31, 2019 | 895,000.00 |
| Dec 31, 2018 | 564,000.00 |
| Sep 30, 2018 | 751,000.00 |
| Jun 30, 2018 | 1.13 Mn |
| Mar 31, 2018 | 669,000.00 |
| Dec 31, 2017 | 1.61 Mn |
| Sep 30, 2017 | 1.74 Mn |
| Jun 30, 2017 | 1.85 Mn |
API Access
Harvard Apparatus Regenerative Technology 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=HRGN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=HRGN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();