Acacia Research (ACTG) Property, Plant & Equipment (Net) (2010 - 2026)
Acacia Research's Property, Plant & Equipment (Net) came in at $197.14 million for Q2 2026, up 5.4% from $187.1 million a year earlier and up 0.6% from the prior quarter.
Acacia Research (ACTG) Property, Plant & Equipment (Net) (2010 - 2026) Analysis & Trends
At the end of FY2025, Acacia Research's Property, Plant & Equipment (Net) was $190.71 million, down 0.5% from FY2024.
- Property, Plant & Equipment (Net) carries a five-year compound annual growth rate of 271.4% (FY2020 to FY2025).
- Going back by year, Property, Plant & Equipment (Net) was $191.68 million in FY2024 (+663.1%), $25.12 million in FY2023 (+610.1%), $3.54 million in FY2022 (-15.4%) and $4.18 million in FY2021.
- The Q2 2026 figure represents the highest quarterly Property, Plant & Equipment (Net) in data going back to Q4 2010.
- Year-over-year, Property, Plant & Equipment (Net) increased in four of the last seven quarters, with growth averaging 189.4%.
- The fastest year-over-year change in Property, Plant & Equipment (Net) over five years came in Q4 2024 (growth of 663.1%), and the weakest in Q3 2023 (a decline of 28.5%).
- Business Quant data shows ACTG's Property, Plant & Equipment (Net) at $195.88 million (Q1 2026), $190.71 million (Q4 2025) and $188.88 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | BlackRock | 164.13 Bn | 110.49 Bn | - | 1.31 Bn |
| 2 | Spdr Gold Trust | 133.82 Bn | -424.18 Bn | - | - |
| 3 | Blackstone | 84.08 Bn | 79.01 Bn | - | - |
| 4 | Brookfield | 82.97 Bn | -82.41 Bn | 4.47 Bn | 178.00 Mn |
| 5 | Kkr | 81.05 Bn | 47.53 Bn | - | - |
| 6 | Brookfield Asset Management | 71.64 Bn | 67.88 Bn | - | 97.00 Mn |
| 7 | Apollo Global Management | 65.67 Bn | 3.35 Bn | 10.56 Bn | - |
| 8 | Wheaton Precious Metals | 61.89 Bn | 57.32 Bn | 687.86 Mn | 9.55 Mn |
| 9 | Franco Nevada | 46.13 Bn | 43.49 Bn | 451.00 Mn | - |
| 10 | Acacia Research | 423.53 Mn | -847.95 Mn | 30.65 Mn | 197.14 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 197.14 Mn |
| Mar 31, 2026 | 195.88 Mn |
| Dec 31, 2025 | 190.71 Mn |
| Sep 30, 2025 | 188.88 Mn |
| Jun 30, 2025 | 187.10 Mn |
| Mar 31, 2025 | 189.10 Mn |
| Dec 31, 2024 | 191.68 Mn |
| Sep 30, 2024 | 190.15 Mn |
| Jun 30, 2024 | 192.59 Mn |
| Mar 31, 2024 | 24.95 Mn |
| Dec 31, 2023 | 25.12 Mn |
| Sep 30, 2023 | 2.65 Mn |
| Jun 30, 2023 | 2.95 Mn |
| Mar 31, 2023 | 3.28 Mn |
| Dec 31, 2022 | 3.54 Mn |
| Sep 30, 2022 | 3.70 Mn |
| Jun 30, 2022 | 3.88 Mn |
| Mar 31, 2022 | 3.89 Mn |
| Dec 31, 2021 | 4.18 Mn |
| Dec 31, 2020 | 270,000.00 |
Acacia Research Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=ACTG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "ticker": "ACTG", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=property-plant-and-equipment-net&ticker=ACTG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();