Abacus Global Management (ABXL) Selling, General & Administrative (2022 - 2026)
Analysis
Abacus Global Management (ABXL) Selling, General & Administrative (2022 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 32.96 Mn |
| Mar 31, 2026 | 25.87 Mn |
| Dec 31, 2025 | 31.90 Mn |
| Sep 30, 2025 | 24.71 Mn |
| Jun 30, 2025 | 18.93 Mn |
| Mar 31, 2025 | 12.26 Mn |
| Dec 31, 2024 | 40.34 Mn |
| Sep 30, 2024 | 15.49 Mn |
| Jun 30, 2024 | 14.55 Mn |
| Mar 31, 2024 | 11.35 Mn |
| Dec 31, 2023 | 15.37 Mn |
| Sep 30, 2023 | 9.84 Mn |
| Jun 30, 2023 | 577,539.00 |
| Mar 31, 2023 | 696,892.00 |
| Dec 31, 2022 | 720,342.00 |
| Sep 30, 2022 | 59,816.00 |
| Jun 30, 2022 | 5,499.00 |
API Access
Abacus Global Management Selling, General & Administrative 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=selling-general-and-administrative&ticker=ABXL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=ABXL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();