Fabric.AI (FABC) Other Operating Expenses (2010 - 2026)
Fabric.AI (FABC) recorded Other Operating Expenses of $2.5 million in Q2 2026, up 531.9% from $395,487 a year earlier and up 76.5% from the prior quarter.
Fabric.AI (FABC) Other Operating Expenses (2010 - 2026) Analysis & Trends
On a TTM basis, Fabric.AI's Other Operating Expenses came in at $5.27 million as of Jun 30, 2026, up 31.9% year-over-year; for FY2025, it came in at $2.28 million, down 53.2% from FY2024.
- Annual Other Operating Expenses has a five-year compound annual growth rate of 10.0% (FY2020 to FY2025).
- Across earlier years, Other Operating Expenses came in at $4.87 million in FY2024 (-20.7%), $6.15 million in FY2023 (+228.1%), $1.87 million in FY2022 (-22.5%) and $2.42 million in FY2021 (+70.9%).
- The Q2 2026 figure is the highest quarterly Other Operating Expenses in data going back to Q2 2017.
- On a year-over-year basis, Other Operating Expenses rose in four of the last seven quarters, with growth averaging 94.1%.
- Peak year-over-year performance for Other Operating Expenses in the last five years was growth of 531.9% in Q2 2026, against a decline of 88.2% in Q4 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $1.42 million (Q1 2026), $266,494 (Q4 2025) and $1.09 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Robinhood Markets | 101.14 Bn | 82.23 Bn | - |
| 2 | Bank of New York Mellon | 98.14 Bn | 37.51 Bn | - |
| 3 | Cme | 94.12 Bn | 94.12 Bn | - |
| 4 | Intercontinental Exchange | 85.35 Bn | 79.16 Bn | - |
| 5 | Nasdaq | 51.71 Bn | 49.14 Bn | 1.50 Bn |
| 6 | State Street | 47.94 Bn | 47.94 Bn | - |
| 7 | Interactive Brokers | 38.49 Bn | 31.95 Bn | - |
| 8 | Northern Trust | 30.99 Bn | 30.99 Bn | - |
| 9 | Cboe Global Markets | 28.76 Bn | 20.41 Bn | 731.60 Mn |
| 10 | Fabric.AI | 9.44 Mn | -39.43 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.50 Mn |
| Mar 31, 2026 | 1.42 Mn |
| Dec 31, 2025 | 266,494.00 |
| Sep 30, 2025 | 1.09 Mn |
| Jun 30, 2025 | 395,487.00 |
| Mar 31, 2025 | 528,816.00 |
| Dec 31, 2024 | 2.26 Mn |
| Sep 30, 2024 | 817,192.00 |
| Jun 30, 2024 | 965,119.00 |
| Mar 31, 2024 | 834,912.00 |
| Dec 31, 2023 | 191,554.00 |
| Sep 30, 2023 | 390,684.00 |
| Jun 30, 2023 | 420,861.00 |
| Mar 31, 2023 | 718,092.00 |
| Dec 31, 2022 | 307,868.00 |
| Sep 30, 2022 | 384,748.00 |
| Jun 30, 2022 | 337,226.00 |
| Mar 31, 2022 | 844,816.00 |
| Dec 31, 2021 | 545,213.00 |
| Sep 30, 2021 | 646,713.00 |
Fabric.AI Other 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=other-operating-expenses&ticker=FABC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "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=other-operating-expenses&ticker=FABC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();