Abacus Global Management (ABX) Operating Expenses (2021 - 2026)
Abacus Global Management's Operating Expenses came in at $42.48 million for Q2 2026, up 53.6% from $27.65 million a year earlier and up 22.2% from the prior quarter.
Abacus Global Management (ABX) Operating Expenses (2021 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Abacus Global Management reported Operating Expenses of $151.2 million, up 38.7% year-over-year; for FY2025, it came in at $117.62 million, up 16.0% from FY2024.
- Operating Expenses has increased in each of the last five years, with a five-year compound annual growth rate of 200.9% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $101.44 million in FY2024 (+183.5%), $35.79 million in FY2023 (+593.0%), $5.16 million in FY2022 (+273.5%) and $1.38 million in FY2021 (+190.0%).
- The Q2 2026 figure represents the highest quarterly Operating Expenses since Q4 2024.
- Year-over-year, Operating Expenses increased in six of the last eight quarters, with growth averaging 58.5%.
- The fastest year-over-year change in Operating Expenses over five years came in Q2 2024 (growth of 861.4%), and the weakest in Q2 2023 (a decline of 15.2%).
- Business Quant data shows ABX's Operating Expenses at $34.75 million (Q1 2026), $41.06 million (Q4 2025) and $32.91 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | BlackRock | 166.01 Bn | 112.36 Bn | - | 4.62 Bn |
| 2 | Spdr Gold Trust | 133.03 Bn | -424.98 Bn | - | 149.76 Mn |
| 3 | Blackstone | 86.20 Bn | 81.13 Bn | - | 2.38 Bn |
| 4 | Kkr | 83.71 Bn | 50.19 Bn | - | 5.41 Bn |
| 5 | Brookfield | 81.54 Bn | -83.85 Bn | 4.47 Bn | 14.94 Bn |
| 6 | Brookfield Asset Management | 71.09 Bn | 67.34 Bn | - | 659.00 Mn |
| 7 | Apollo Global Management | 68.54 Bn | 6.22 Bn | 10.56 Bn | 8.74 Bn |
| 8 | Wheaton Precious Metals | 61.57 Bn | 57.00 Bn | 687.86 Mn | 133.83 Mn |
| 9 | Franco Nevada | 47.40 Bn | 44.76 Bn | 451.00 Mn | 7.80 Mn |
| 10 | Abacus Global Management | 804.83 Mn | 619.70 Mn | 63.96 Mn | 42.48 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 42.48 Mn |
| Mar 31, 2026 | 34.75 Mn |
| Dec 31, 2025 | 41.06 Mn |
| Sep 30, 2025 | 32.91 Mn |
| Jun 30, 2025 | 27.65 Mn |
| Mar 31, 2025 | 16.00 Mn |
| Dec 31, 2024 | 46.25 Mn |
| Sep 30, 2024 | 19.11 Mn |
| Jun 30, 2024 | 19.56 Mn |
| Mar 31, 2024 | 16.51 Mn |
| Dec 31, 2023 | 20.04 Mn |
| Sep 30, 2023 | 11.46 Mn |
| Jun 30, 2023 | 2.03 Mn |
| Mar 31, 2023 | 2.26 Mn |
| Dec 31, 2022 | 2.35 Mn |
| Sep 30, 2022 | -912,394.00 |
| Jun 30, 2022 | 2.40 Mn |
| Mar 31, 2022 | 298,294.00 |
| Dec 31, 2021 | 366,901.00 |
| Sep 30, 2021 | 565,570.00 |
Abacus Global Management Operating Expenses 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=operating-expenses&ticker=ABX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "ABX", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=operating-expenses&ticker=ABX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();