Fabric.AI (FABC) Selling, General & Administrative (2010 - 2026)
Fabric.AI's Selling, General & Administrative came in at $2.64 million for Q2 2026, up 120.1% from $1.2 million a year earlier and up 67.4% from the prior quarter.
Fabric.AI (FABC) Selling, General & Administrative (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Fabric.AI reported Selling, General & Administrative of $9.46 million, up 46.1% year-over-year; for FY2025, it was $8.1 million, down 6.3% from FY2024.
- Selling, General & Administrative carries a five-year compound annual growth rate of 4.2% (FY2020 to FY2025).
- Going back by year, Selling, General & Administrative was $8.65 million in FY2024 (-39.9%), $14.38 million in FY2023 (+25.0%), $11.5 million in FY2022 (-33.0%) and $17.17 million in FY2021 (+160.0%).
- The five-year range for quarterly Selling, General & Administrative is $1.2 million (Q2 2025) to $6.81 million (Q3 2021).
- Year-over-year, Selling, General & Administrative increased in three of the last eight quarters, with growth averaging 2.4%.
- The fastest year-over-year change in Selling, General & Administrative over five years came in Q3 2021 (growth of 359.2%), and the weakest in Q3 2024 (a decline of 67.6%).
- Business Quant data shows FABC's Selling, General & Administrative at $1.58 million (Q1 2026), $2.77 million (Q4 2025) and $2.47 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Robinhood Markets | 99.92 Bn | 81.02 Bn | - | 199.00 Mn |
| 2 | Bank of New York Mellon | 97.64 Bn | 37.02 Bn | - | - |
| 3 | Cme | 95.24 Bn | 95.24 Bn | - | - |
| 4 | Intercontinental Exchange | 84.98 Bn | 78.79 Bn | - | 63.00 Mn |
| 5 | Nasdaq | 51.52 Bn | 48.95 Bn | 1.50 Bn | 23.00 Mn |
| 6 | State Street | 47.96 Bn | 47.96 Bn | - | - |
| 7 | Interactive Brokers | 38.66 Bn | 32.12 Bn | - | 68.00 Mn |
| 8 | Northern Trust | 30.96 Bn | 30.96 Bn | - | - |
| 9 | Cboe Global Markets | 29.00 Bn | 20.65 Bn | 731.60 Mn | - |
| 10 | Fabric.AI | 9.48 Mn | -39.39 Mn | - | 2.64 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.64 Mn |
| Mar 31, 2026 | 1.58 Mn |
| Dec 31, 2025 | 2.77 Mn |
| Sep 30, 2025 | 2.47 Mn |
| Jun 30, 2025 | 1.20 Mn |
| Mar 31, 2025 | 1.67 Mn |
| Dec 31, 2024 | 2.19 Mn |
| Sep 30, 2024 | 1.41 Mn |
| Jun 30, 2024 | 1.98 Mn |
| Mar 31, 2024 | 3.06 Mn |
| Dec 31, 2023 | 3.92 Mn |
| Sep 30, 2023 | 4.37 Mn |
| Jun 30, 2023 | 3.25 Mn |
| Mar 31, 2023 | 2.84 Mn |
| Dec 31, 2022 | 3.06 Mn |
| Sep 30, 2022 | 3.00 Mn |
| Jun 30, 2022 | 2.74 Mn |
| Mar 31, 2022 | 2.70 Mn |
| Dec 31, 2021 | 3.00 Mn |
| Sep 30, 2021 | 6.81 Mn |
Fabric.AI 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=FABC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "ticker": "FABC", "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=FABC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();