Fabric.AI (FABC) Return on Sales [ROS] (2010 - 2024)
Fabric.AI's Return on Sales [ROS] came in at -30382.44% for Q4 2024, down 24142.90 percentage points from -6239.55% a year earlier but up 5113.48 percentage points from the prior quarter.
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Analysis
Fabric.AI (FABC) Return on Sales [ROS] (2010 - 2024) Analysis & Trends
Going back to Q2 2017, Fabric.AI's Return on Sales [ROS] data covers 31 quarters.
- Return on Sales [ROS] carries a five-year change of -29428.18 percentage points (FY2019 to FY2024).
- Going back by year, Return on Sales [ROS] was -5643.51% in FY2023 (-4865.15 pp), -778.36% in FY2022 (+456.13 pp), -1234.49% in FY2021 (-604.46 pp) and -630.04% in FY2020 (+324.23 pp).
- The five-year range for quarterly Return on Sales [ROS] is -35495.93% (Q3 2024) to -368.65% (Q2 2020).
- Year-over-year, Return on Sales [ROS] has declined for nine consecutive quarters, with an average year-over-year change of -9920.53 percentage points over the last eight quarters.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in Q4 2020 (a gain of 1792.74 percentage points), and the weakest in Q3 2024 (a drop of 28436.73 percentage points).
- Business Quant data shows FABC's Return on Sales [ROS] at -35495.93% (Q3 2024), -8294.27% (Q2 2024) and -8938.93% (Q1 2024) in the three quarters before Q4 2024.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Robinhood Markets | 101.35 Bn | 82.45 Bn | - | 66.36% |
| 2 | Bank of New York Mellon | 98.65 Bn | 38.02 Bn | - | 119.30% |
| 3 | Cme | 94.54 Bn | 94.54 Bn | - | 64.89% |
| 4 | Intercontinental Exchange | 84.23 Bn | 78.04 Bn | - | 38.52% |
| 5 | Nasdaq | 50.77 Bn | 48.20 Bn | 1.50 Bn | 28.12% |
| 6 | State Street | 48.31 Bn | 48.31 Bn | - | 83.30% |
| 7 | Interactive Brokers | 39.79 Bn | 33.24 Bn | - | 138.98% |
| 8 | Northern Trust | 31.37 Bn | 31.37 Bn | - | 191.07% |
| 9 | Cboe Global Markets | 28.34 Bn | 20.00 Bn | 731.60 Mn | 32.99% |
| 10 | Fabric.AI | 9.69 Mn | -39.18 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2024 | -30,382.44% |
| Sep 30, 2024 | -35,495.93% |
| Jun 30, 2024 | -8,294.27% |
| Mar 31, 2024 | -8,938.93% |
| Dec 31, 2023 | -6,239.55% |
| Sep 30, 2023 | -7,059.20% |
| Jun 30, 2023 | -4,490.68% |
| Mar 31, 2023 | -5,127.26% |
| Dec 31, 2022 | -1,139.02% |
| Sep 30, 2022 | -1,555.32% |
| Jun 30, 2022 | -608.39% |
| Mar 31, 2022 | -444.61% |
| Dec 31, 2021 | -957.91% |
| Sep 30, 2021 | -2,147.83% |
| Jun 30, 2021 | -1,471.28% |
| Mar 31, 2021 | -715.32% |
| Dec 31, 2020 | -635.46% |
| Sep 30, 2020 | -614.70% |
| Jun 30, 2020 | -368.65% |
| Mar 31, 2020 | -1,150.79% |
API Access
Fabric.AI Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=FABC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=FABC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();