Fabric.AI (FABC) Accumulated Expenses (2013 - 2026)
Fabric.AI's Accumulated Expenses was $585,946 in Q2 2026, up 35.9% from $431,308 a year earlier and up 9.4% from the prior quarter.
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Analysis
Fabric.AI (FABC) Accumulated Expenses (2013 - 2026) Analysis & Trends
At the end of FY2025, Accumulated Expenses at Fabric.AI came in at $476,592, down 40.0% from FY2024.
- Accumulated Expenses shows a five-year compound annual growth rate of -6.4% (FY2020 to FY2025).
- In earlier years, Accumulated Expenses was $793,819 in FY2024 (-52.1%), $1.66 million in FY2023 (+71.7%), $964,937 in FY2022 (-67.7%) and $2.99 million in FY2021 (+349.7%).
- The Q2 2026 figure marks the highest quarterly Accumulated Expenses since Q1 2025.
- Compared with a year earlier, Accumulated Expenses was higher in two of the last eight quarters, with an average decline of 28.6%.
- The best year-over-year quarter for Accumulated Expenses over five years was Q3 2021 (growth of 901.6%); the worst was Q2 2025 (a decline of 71.4%).
- Per Business Quant data, FABC's Accumulated Expenses in the three quarters before Q2 2026 was $535,559 (Q1 2026), $476,592 (Q4 2025) and $559,048 (Q3 2025).
Peer Set
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
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 585,946.00 |
| Mar 31, 2026 | 535,559.00 |
| Dec 31, 2025 | 476,592.00 |
| Sep 30, 2025 | 559,048.00 |
| Jun 30, 2025 | 431,308.00 |
| Mar 31, 2025 | 780,127.00 |
| Dec 31, 2024 | 793,819.00 |
| Sep 30, 2024 | 1.33 Mn |
| Jun 30, 2024 | 1.51 Mn |
| Mar 31, 2024 | 1.45 Mn |
| Dec 31, 2023 | 1.66 Mn |
| Sep 30, 2023 | 992,966.00 |
| Jun 30, 2023 | 910,114.00 |
| Mar 31, 2023 | 891,655.00 |
| Dec 31, 2022 | 964,937.00 |
| Sep 30, 2022 | 1.62 Mn |
| Jun 30, 2022 | 1.06 Mn |
| Mar 31, 2022 | 1.99 Mn |
| Dec 31, 2021 | 2.99 Mn |
| Sep 30, 2021 | 4.44 Mn |
API Access
Fabric.AI 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=FABC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=FABC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();