Fabric.AI (FABC) Total Liabilities (2011 - 2026)
Fabric.AI (FABC) recorded Total Liabilities of $38.54 million in Q2 2026, up 72.8% from $22.3 million a year earlier and up 363.8% from the prior quarter.
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Analysis
Fabric.AI (FABC) Total Liabilities (2011 - 2026) Analysis & Trends
At the end of FY2025, Fabric.AI reported Total Liabilities of $7.7 million, down 54.9% from FY2024.
- Annual Total Liabilities has a five-year compound annual growth rate of 24.2% (FY2020 to FY2025).
- Across earlier years, Total Liabilities came in at $17.06 million in FY2024 (-56.0%), $38.73 million in FY2023, $2.93 million in FY2022 (-37.7%) and $4.7 million in FY2021 (+80.6%).
- The Q2 2026 figure is the highest quarterly Total Liabilities since Q1 2024.
- On a year-over-year basis, Total Liabilities rose in 1 of the last eight quarters, with an average decline of 33.5%.
- Peak year-over-year performance for Total Liabilities in the last five years was growth of 782.2% in Q3 2023, against a decline of 69.8% in Q3 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $8.31 million (Q1 2026), $7.7 million (Q4 2025) and $7.39 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Robinhood Markets | 104.70 Bn | 85.79 Bn | - | 47.01 Bn |
| 2 | Bank of New York Mellon | 100.72 Bn | 40.09 Bn | - | 479.76 Bn |
| 3 | Cme | 94.58 Bn | 94.58 Bn | - | 168.16 Bn |
| 4 | Intercontinental Exchange | 85.83 Bn | 79.63 Bn | - | 144.63 Bn |
| 5 | Nasdaq | 52.05 Bn | 49.49 Bn | 1.50 Bn | 15.35 Bn |
| 6 | State Street | 49.39 Bn | 49.39 Bn | - | - |
| 7 | Interactive Brokers | 39.24 Bn | 32.69 Bn | - | 225.06 Bn |
| 8 | Northern Trust | 31.94 Bn | 31.94 Bn | - | 165.90 Bn |
| 9 | Cboe Global Markets | 26.47 Bn | 18.13 Bn | 731.60 Mn | 4.98 Bn |
| 10 | Fabric.AI | 9.77 Mn | -39.10 Mn | - | 38.54 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 38.54 Mn |
| Mar 31, 2026 | 8.31 Mn |
| Dec 31, 2025 | 7.70 Mn |
| Sep 30, 2025 | 7.39 Mn |
| Jun 30, 2025 | 22.30 Mn |
| Mar 31, 2025 | 13.15 Mn |
| Dec 31, 2024 | 17.06 Mn |
| Sep 30, 2024 | 24.47 Mn |
| Jun 30, 2024 | 32.17 Mn |
| Mar 31, 2024 | 40.86 Mn |
| Dec 31, 2023 | 38.73 Mn |
| Sep 30, 2023 | 32.49 Mn |
| Jun 30, 2023 | 2.41 Mn |
| Mar 31, 2023 | 2.46 Mn |
| Dec 31, 2022 | 2.93 Mn |
| Sep 30, 2022 | 3.68 Mn |
| Jun 30, 2022 | 2.81 Mn |
| Mar 31, 2022 | 3.60 Mn |
| Dec 31, 2021 | 4.70 Mn |
| Sep 30, 2021 | 6.76 Mn |
API Access
Fabric.AI Total Liabilities 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=total-liabilities&ticker=FABC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=FABC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();