Precigen (PGEN) Depreciation & Amortization (CF) (2012 - 2026)
Precigen's Depreciation & Amortization (CF) came in at $1.1 million for Q2 2026, up 74.8% from $630,000 a year earlier and up 0.2% from the prior quarter.
Precigen (PGEN) Depreciation & Amortization (CF) (2012 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Precigen reported Depreciation & Amortization (CF) of $4.14 million, up 59.6% year-over-year; for FY2025, it came in at $3.2 million, down 29.3% from FY2024.
- Depreciation & Amortization (CF) has declined in each of the last seven years, with a five-year compound annual growth rate of -28.8% (FY2020 to FY2025).
- Going back by year, Depreciation & Amortization (CF) was $4.53 million in FY2024 (-32.1%), $6.67 million in FY2023 (-38.1%), $10.77 million in FY2022 (-21.8%) and $13.76 million in FY2021 (-21.4%).
- The five-year range for quarterly Depreciation & Amortization (CF) is $629,000 (Q1 2025) to $3.4 million (Q3 2021).
- Year-over-year, Depreciation & Amortization (CF) has increased for four consecutive quarters, with growth averaging 0.2% over the last eight quarters.
- The fastest year-over-year change in Depreciation & Amortization (CF) over five years came in Q2 2026 (growth of 74.8%), and the weakest in Q1 2025 (a decline of 60.6%).
- Business Quant data shows PGEN's Depreciation & Amortization (CF) at $1.1 million (Q1 2026), $1.14 million (Q4 2025) and $803,000 (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | 534.00 Mn |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 1.96 Bn |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 194.00 Mn |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | 599.00 Mn |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | - |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | 1.93 Bn |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 1.11 Bn |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | 98.00 Mn |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | 1.62 Bn |
| 10 | Precigen | 3.06 Bn | 3.06 Bn | 52.17 Mn | 1.10 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.10 Mn |
| Mar 31, 2026 | 1.10 Mn |
| Dec 31, 2025 | 1.14 Mn |
| Sep 30, 2025 | 803,000.00 |
| Jun 30, 2025 | 630,000.00 |
| Mar 31, 2025 | 629,000.00 |
| Dec 31, 2024 | 661,000.00 |
| Sep 30, 2024 | 674,000.00 |
| Jun 30, 2024 | 1.60 Mn |
| Mar 31, 2024 | 1.60 Mn |
| Dec 31, 2023 | 1.61 Mn |
| Sep 30, 2023 | 1.65 Mn |
| Jun 30, 2023 | 1.69 Mn |
| Mar 31, 2023 | 1.71 Mn |
| Dec 31, 2022 | 1.72 Mn |
| Sep 30, 2022 | 2.53 Mn |
| Jun 30, 2022 | 3.23 Mn |
| Mar 31, 2022 | 3.29 Mn |
| Dec 31, 2021 | 3.32 Mn |
| Sep 30, 2021 | 3.40 Mn |
Precigen Depreciation & Amortization (CF) 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=depreciation-and-amortization-cf&ticker=PGEN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-cf", "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=depreciation-and-amortization-cf&ticker=PGEN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();