Precigen (PGEN) Total Non-Current Liabilities (2012 - 2026)
Precigen's Total Non-Current Liabilities was $126.64 million in Q2 2026, up 110.7% from $60.12 million a year earlier and up 7.1% from the prior quarter.
Precigen (PGEN) Total Non-Current Liabilities (2012 - 2026) Analysis & Trends
At the end of FY2025, Total Non-Current Liabilities at Precigen came in at $134.46 million, up 139.2% from FY2024.
- Total Non-Current Liabilities shows a five-year compound annual growth rate of -11.5% (FY2020 to FY2025).
- In earlier years, Total Non-Current Liabilities was $56.22 million in FY2024 (+72.7%), $32.55 million in FY2023 and $252.46 million in FY2021 (+2.1%).
- Quarterly Total Non-Current Liabilities has moved between $32.55 million (Q4 2023) and $261.68 million (Q1 2022) over five years.
- Compared with a year earlier, Total Non-Current Liabilities has increased for three straight quarters, with growth averaging 105.1% over the last four quarters.
- Per Business Quant data, PGEN's Total Non-Current Liabilities in the three quarters before Q2 2026 was $118.29 million (Q1 2026), $134.46 million (Q4 2025) and $129.23 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 645.01 Bn | 563.54 Bn | 17.26 Bn | 105.99 Bn |
| 2 | AbbVie | 465.23 Bn | 438.39 Bn | 12.70 Bn | 106.45 Bn |
| 3 | Merck | 368.40 Bn | 322.83 Bn | 12.21 Bn | 80.25 Bn |
| 4 | Novartis Ag | 278.02 Bn | 233.89 Bn | 11.24 Bn | 48.34 Bn |
| 5 | Astrazeneca | 254.57 Bn | 228.13 Bn | 12.86 Bn | -967.00 Mn |
| 6 | Amgen | 229.02 Bn | 184.42 Bn | 7.24 Bn | 81.11 Bn |
| 7 | Gilead Sciences | 187.74 Bn | 161.85 Bn | 6.22 Bn | 36.04 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 100.86 Bn |
| 9 | Vertex Pharmaceuticals | 133.45 Bn | 105.45 Bn | 2.84 Bn | 5.92 Bn |
| 10 | Precigen | 2.88 Bn | 2.88 Bn | 52.17 Mn | 126.64 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 126.64 Mn |
| Mar 31, 2026 | 118.29 Mn |
| Dec 31, 2025 | 134.46 Mn |
| Sep 30, 2025 | 129.23 Mn |
| Jun 30, 2025 | 60.12 Mn |
| Mar 31, 2025 | 59.83 Mn |
| Dec 31, 2024 | 56.22 Mn |
| Dec 31, 2023 | 32.55 Mn |
| Mar 31, 2022 | 261.68 Mn |
| Dec 31, 2021 | 252.46 Mn |
| Sep 30, 2021 | 245.60 Mn |
| Jun 30, 2021 | 243.33 Mn |
| Mar 31, 2021 | 232.09 Mn |
| Dec 31, 2020 | 247.31 Mn |
| Sep 30, 2020 | 277.53 Mn |
| Jun 30, 2020 | 312.07 Mn |
| Dec 31, 2019 | 88,000.00 |
| Sep 30, 2019 | 376.26 Mn |
| Jun 30, 2019 | 375.74 Mn |
| Mar 31, 2019 | 374.38 Mn |
Precigen 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=PGEN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "PGEN", "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=PGEN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();