Fabric.AI (FABC) Total Current Liabilities (2011 - 2026)
Fabric.AI (FABC) recorded Total Current Liabilities of $1.74 million in Q2 2026, down 77.1% from $7.6 million a year earlier but up 10.0% from the prior quarter.
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Analysis
Fabric.AI (FABC) Total Current Liabilities (2011 - 2026) Analysis & Trends
At the end of FY2025, Fabric.AI reported Total Current Liabilities of $1.64 million, down 60.5% from FY2024.
- Annual Total Current Liabilities has a five-year compound annual growth rate of 0.7% (FY2020 to FY2025).
- Across earlier years, Total Current Liabilities came in at $4.16 million in FY2024 (-3.4%), $4.31 million in FY2023 (+92.6%), $2.24 million in FY2022 (-41.8%) and $3.84 million in FY2021 (+142.2%).
- Quarterly Total Current Liabilities has ranged from $1.58 million in Q1 2026 to $7.6 million in Q2 2025 over the past five years.
- On a year-over-year basis, Total Current Liabilities has declined for four consecutive quarters, with an average decline of 4.3% over the last eight quarters.
- Peak year-over-year performance for Total Current Liabilities in the last five years was growth of 262.7% in Q2 2024, against a decline of 77.9% in Q1 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at $1.58 million (Q1 2026), $1.64 million (Q4 2025) and $1.91 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Robinhood Markets | 104.70 Bn | 85.79 Bn | - | 44.58 Bn |
| 2 | Bank of New York Mellon | 100.72 Bn | 40.09 Bn | - | - |
| 3 | Cme | 94.58 Bn | 94.58 Bn | - | 158.72 Bn |
| 4 | Intercontinental Exchange | 85.83 Bn | 79.63 Bn | - | 120.58 Bn |
| 5 | Nasdaq | 52.05 Bn | 49.49 Bn | 1.50 Bn | 4.51 Bn |
| 6 | State Street | 49.39 Bn | 49.39 Bn | - | - |
| 7 | Interactive Brokers | 39.24 Bn | 32.69 Bn | - | - |
| 8 | Northern Trust | 31.94 Bn | 31.94 Bn | - | - |
| 9 | Cboe Global Markets | 26.47 Bn | 18.13 Bn | 731.60 Mn | 3.79 Bn |
| 10 | Fabric.AI | 9.77 Mn | -39.10 Mn | - | 1.74 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.74 Mn |
| Mar 31, 2026 | 1.58 Mn |
| Dec 31, 2025 | 1.64 Mn |
| Sep 30, 2025 | 1.91 Mn |
| Jun 30, 2025 | 7.60 Mn |
| Mar 31, 2025 | 7.15 Mn |
| Dec 31, 2024 | 4.16 Mn |
| Sep 30, 2024 | 5.09 Mn |
| Jun 30, 2024 | 6.55 Mn |
| Mar 31, 2024 | 4.03 Mn |
| Dec 31, 2023 | 4.31 Mn |
| Sep 30, 2023 | 2.01 Mn |
| Jun 30, 2023 | 1.80 Mn |
| Mar 31, 2023 | 1.81 Mn |
| Dec 31, 2022 | 2.24 Mn |
| Sep 30, 2022 | 2.95 Mn |
| Jun 30, 2022 | 2.03 Mn |
| Mar 31, 2022 | 2.78 Mn |
| Dec 31, 2021 | 3.84 Mn |
| Sep 30, 2021 | 5.59 Mn |
API Access
Fabric.AI Total Current 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-current-liabilities&ticker=FABC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-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-current-liabilities&ticker=FABC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();