Acacia Research (ACTG) Cash & Equivalents (2010 - 2026)
Acacia Research (ACTG) posted Cash & Equivalents of $307.64 million for Q2 2026, down 2.9% from $316.72 million a year earlier and unchanged from the prior quarter.
Acacia Research (ACTG) Cash & Equivalents (2010 - 2026) Analysis & Trends
At the end of FY2025, Acacia Research's Cash & Equivalents came in at $306.72 million, up 12.0% from FY2024.
- Annual Cash & Equivalents shows a five-year compound annual growth rate of 13.1% (FY2020 to FY2025).
- In prior years, Acacia Research's Cash & Equivalents was $273.88 million in FY2024 (-19.5%), $340.09 million in FY2023 (+18.2%), $287.79 million in FY2022 (-6.8%) and $308.94 million in FY2021 (+86.6%).
- Quarterly Cash & Equivalents has run from a low of $217.96 million in Q3 2021 to a high of $438.76 million in Q1 2024 over five years.
- On a year-over-year basis, Cash & Equivalents increased in three of the last eight quarters, with an average decline of 8.1%.
- The strongest year-over-year quarter for Cash & Equivalents in the past five years was Q1 2022, with growth of 99.8%; the weakest was Q1 2025, with a decline of 38.0%.
- According to Business Quant data, Cash & Equivalents for the three prior quarters was $307.51 million (Q1 2026), $306.72 million (Q4 2025) and $301.78 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | BlackRock | 164.13 Bn | 110.49 Bn | - | 10.49 Bn |
| 2 | Spdr Gold Trust | 133.82 Bn | -424.18 Bn | - | - |
| 3 | Blackstone | 84.08 Bn | 79.01 Bn | - | 2.51 Bn |
| 4 | Brookfield | 82.97 Bn | -82.41 Bn | 4.47 Bn | 760.00 Mn |
| 5 | Kkr | 81.05 Bn | 47.53 Bn | - | 21.08 Bn |
| 6 | Brookfield Asset Management | 71.64 Bn | 67.88 Bn | - | 1.50 Bn |
| 7 | Apollo Global Management | 65.67 Bn | 3.35 Bn | 10.56 Bn | 26.82 Bn |
| 8 | Wheaton Precious Metals | 61.89 Bn | 57.32 Bn | 687.86 Mn | 100.19 Mn |
| 9 | Franco Nevada | 46.13 Bn | 43.49 Bn | 451.00 Mn | 1.01 Bn |
| 10 | Acacia Research | 423.53 Mn | -847.95 Mn | 30.65 Mn | 307.64 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 307.64 Mn |
| Mar 31, 2026 | 307.51 Mn |
| Dec 31, 2025 | 306.72 Mn |
| Sep 30, 2025 | 301.78 Mn |
| Jun 30, 2025 | 316.72 Mn |
| Mar 31, 2025 | 271.96 Mn |
| Dec 31, 2024 | 273.88 Mn |
| Sep 30, 2024 | 360.05 Mn |
| Jun 30, 2024 | 386.99 Mn |
| Mar 31, 2024 | 438.76 Mn |
| Dec 31, 2023 | 340.09 Mn |
| Sep 30, 2023 | 344.73 Mn |
| Jun 30, 2023 | 355.19 Mn |
| Mar 31, 2023 | 364.23 Mn |
| Dec 31, 2022 | 287.79 Mn |
| Sep 30, 2022 | 241.87 Mn |
| Jun 30, 2022 | 263.95 Mn |
| Mar 31, 2022 | 289.37 Mn |
| Dec 31, 2021 | 308.94 Mn |
| Sep 30, 2021 | 217.96 Mn |
Acacia Research Cash & Equivalents 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=cash-and-equivalents&ticker=ACTG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=ACTG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();