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 | Eli Lilly | 1,261.99 Bn | 1,235.61 Bn | 20.46 Bn | 60.81 Bn |
| 2 | Johnson & Johnson | 678.93 Bn | 598.79 Bn | 17.30 Bn | 102.65 Bn |
| 3 | AbbVie | 518.29 Bn | 486.30 Bn | 13.12 Bn | 117.60 Bn |
| 4 | Merck | 365.98 Bn | 328.92 Bn | 13.19 Bn | 79.95 Bn |
| 5 | Novartis Ag | 316.85 Bn | 290.09 Bn | - | - |
| 6 | Astrazeneca | 293.40 Bn | 267.29 Bn | 13.26 Bn | -36.84 Bn |
| 7 | Amgen | 251.78 Bn | 203.43 Bn | 7.58 Bn | 76.12 Bn |
| 8 | Gilead Sciences | 210.61 Bn | 185.71 Bn | 6.73 Bn | 36.05 Bn |
| 9 | Pfizer | 166.87 Bn | 114.23 Bn | 12.56 Bn | 96.04 Bn |
| 10 | Precigen | 1.70 Bn | 1.46 Bn | 67.64 Mn | 128.26 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 128.26 Mn |
| 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 |
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();