Fabric.AI (FABC) Cash & Equivalents (2010 - 2026)
Fabric.AI's Cash & Equivalents came in at $3.64 million for Q2 2026, down 29.2% from $5.13 million a year earlier but up 7.8% from the prior quarter.
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Analysis
Fabric.AI (FABC) Cash & Equivalents (2010 - 2026) Analysis & Trends
At the end of FY2025, Fabric.AI's Cash & Equivalents was $4.98 million, down 69.2% from FY2024.
- Cash & Equivalents carries a five-year compound annual growth rate of -32.9% (FY2020 to FY2025).
- Going back by year, Cash & Equivalents was $16.2 million in FY2024 (-62.7%), $43.44 million in FY2023 (+11.1%), $39.1 million in FY2022 (-43.5%) and $69.16 million in FY2021 (+89.3%).
- The five-year range for quarterly Cash & Equivalents is $3.37 million (Q1 2026) to $77.1 million (Q3 2021).
- Year-over-year, Cash & Equivalents has declined for eight consecutive quarters, with an average decline of 45.2% over the last eight quarters.
- The fastest year-over-year change in Cash & Equivalents over five years came in Q3 2021 (growth of 176.2%), and the weakest in Q1 2026 (a decline of 73.9%).
- Business Quant data shows FABC's Cash & Equivalents at $3.37 million (Q1 2026), $4.98 million (Q4 2025) and $7.37 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Robinhood Markets | 99.92 Bn | 81.02 Bn | - | 5.36 Bn |
| 2 | Bank of New York Mellon | 97.64 Bn | 37.02 Bn | - | - |
| 3 | Cme | 95.24 Bn | 95.24 Bn | - | 2.14 Bn |
| 4 | Intercontinental Exchange | 84.98 Bn | 78.79 Bn | - | 1.07 Bn |
| 5 | Nasdaq | 51.52 Bn | 48.95 Bn | 1.50 Bn | 520.00 Mn |
| 6 | State Street | 47.96 Bn | 47.96 Bn | - | - |
| 7 | Interactive Brokers | 38.66 Bn | 32.12 Bn | - | 7.71 Bn |
| 8 | Northern Trust | 30.96 Bn | 30.96 Bn | - | - |
| 9 | Cboe Global Markets | 29.00 Bn | 20.65 Bn | 731.60 Mn | 2.28 Bn |
| 10 | Fabric.AI | 9.48 Mn | -39.39 Mn | - | 3.64 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.64 Mn |
| Mar 31, 2026 | 3.37 Mn |
| Dec 31, 2025 | 4.98 Mn |
| Sep 30, 2025 | 7.37 Mn |
| Jun 30, 2025 | 5.13 Mn |
| Mar 31, 2025 | 12.93 Mn |
| Dec 31, 2024 | 16.20 Mn |
| Sep 30, 2024 | 12.75 Mn |
| Jun 30, 2024 | 14.09 Mn |
| Mar 31, 2024 | 15.46 Mn |
| Dec 31, 2023 | 43.44 Mn |
| Sep 30, 2023 | 13.29 Mn |
| Jun 30, 2023 | 13.57 Mn |
| Mar 31, 2023 | 31.99 Mn |
| Dec 31, 2022 | 39.10 Mn |
| Sep 30, 2022 | 39.43 Mn |
| Jun 30, 2022 | 40.89 Mn |
| Mar 31, 2022 | 43.49 Mn |
| Dec 31, 2021 | 69.16 Mn |
| Sep 30, 2021 | 77.10 Mn |
API Access
Fabric.AI Cash & Equivalents 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=cash-and-equivalents&ticker=FABC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=FABC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();