Abacus Global Management (ABXL) Accumulated Expenses (2020 - 2026)
Abacus Global Management's Accumulated Expenses came in at $8.48 million for Q2 2026, up 59.6% from $5.32 million a year earlier and up 18.7% from the prior quarter.
Abacus Global Management (ABXL) Accumulated Expenses (2020 - 2026) Analysis & Trends
At the end of FY2025, Abacus Global Management's Accumulated Expenses was $10.94 million, up 78.1% from FY2024.
- Accumulated Expenses carries a five-year compound annual growth rate of 138.6% (FY2020 to FY2025).
- Going back by year, Accumulated Expenses was $6.14 million in FY2024 (+41.0%), $4.35 million in FY2023 and $144,254 in FY2021 (+2.1%).
- The five-year range for quarterly Accumulated Expenses is $144,254 (Q4 2021) to $10.94 million (Q4 2025).
- Year-over-year, Accumulated Expenses has increased for nine consecutive quarters, with growth averaging 164.1% over the last eight quarters.
- The fastest year-over-year change in Accumulated Expenses over five years came in Q2 2024 (growth of 315.0%), and the weakest in Q1 2024 (a decline of 93.0%).
- Business Quant data shows ABXL's Accumulated Expenses at $7.15 million (Q1 2026), $10.94 million (Q4 2025) and $8.69 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 8.48 Mn |
| Mar 31, 2026 | 7.15 Mn |
| Dec 31, 2025 | 10.94 Mn |
| Sep 30, 2025 | 8.69 Mn |
| Jun 30, 2025 | 5.32 Mn |
| Mar 31, 2025 | 2.76 Mn |
| Dec 31, 2024 | 6.14 Mn |
| Sep 30, 2024 | 2.54 Mn |
| Jun 30, 2024 | 2.18 Mn |
| Mar 31, 2024 | 707,159.00 |
| Dec 31, 2023 | 4.35 Mn |
| Sep 30, 2023 | 636,788.00 |
| Jun 30, 2023 | 524,400.00 |
| Mar 31, 2023 | 10.07 Mn |
| Sep 30, 2022 | 7.94 Mn |
| Jun 30, 2022 | 150,723.00 |
| Mar 31, 2022 | 189,981.00 |
| Dec 31, 2021 | 144,254.00 |
| Sep 30, 2021 | 166,087.00 |
| Jun 30, 2021 | 55,086.00 |
Abacus Global Management Accumulated 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=accumulated-expenses&ticker=ABXL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "ABXL", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=accumulated-expenses&ticker=ABXL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();