Precigen (PGEN) Total Liabilities (2012 - 2026)
Precigen's Total Liabilities came in at $126.72 million for Q2 2026, down 8.6% from $138.68 million a year earlier but up 7.0% from the prior quarter.
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Analysis
Precigen (PGEN) Total Liabilities (2012 - 2026) Analysis & Trends
At the end of FY2025, Precigen's Total Liabilities was $134.59 million, up 26.1% from FY2024.
- Total Liabilities carries a five-year compound annual growth rate of -11.5% (FY2020 to FY2025).
- Going back by year, Total Liabilities was $106.75 million in FY2024 (+228.0%), $32.55 million in FY2023 (-63.7%), $89.72 million in FY2022 (-64.5%) and $252.51 million in FY2021 (+2.1%).
- The five-year range for quarterly Total Liabilities is $28.1 million (Q3 2024) to $265.57 million (Q2 2022).
- Year-over-year, Total Liabilities increased in five of the last eight quarters, with growth averaging 149.3%.
- The fastest year-over-year change in Total Liabilities over five years came in Q2 2025 (growth of 362.4%), and the weakest in Q2 2023 (a decline of 84.4%).
- Business Quant data shows PGEN's Total Liabilities at $118.39 million (Q1 2026), $134.59 million (Q4 2025) and $129.4 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 116.09 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 141.05 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 87.82 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 80.09 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 65.46 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 83.95 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 37.53 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 115.64 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 7.18 Bn |
| 10 | Precigen | 2.80 Bn | 2.80 Bn | 52.17 Mn | 126.72 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 126.72 Mn |
| Mar 31, 2026 | 118.39 Mn |
| Dec 31, 2025 | 134.59 Mn |
| Sep 30, 2025 | 129.40 Mn |
| Jun 30, 2025 | 138.68 Mn |
| Mar 31, 2025 | 142.85 Mn |
| Dec 31, 2024 | 106.75 Mn |
| Sep 30, 2024 | 28.10 Mn |
| Jun 30, 2024 | 29.99 Mn |
| Mar 31, 2024 | 37.83 Mn |
| Dec 31, 2023 | 32.55 Mn |
| Sep 30, 2023 | 43.01 Mn |
| Jun 30, 2023 | 41.32 Mn |
| Mar 31, 2023 | 57.41 Mn |
| Dec 31, 2022 | 89.72 Mn |
| Sep 30, 2022 | 116.71 Mn |
| Jun 30, 2022 | 265.57 Mn |
| Mar 31, 2022 | 261.73 Mn |
| Dec 31, 2021 | 252.51 Mn |
| Sep 30, 2021 | 245.65 Mn |
API Access
Precigen 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=PGEN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=PGEN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();