Fabric.AI (FABC) Return on Capital Employed [ROCE] (2011 - 2026)
Fabric.AI (FABC) recorded Return on Capital Employed [ROCE] of -42.08% in Q2 2026, up 233.09 percentage points from -275.16% a year earlier and up 72.72 percentage points from the prior quarter.
Fabric.AI (FABC) Return on Capital Employed [ROCE] (2011 - 2026) Analysis & Trends
For FY2025, Fabric.AI reported Return on Capital Employed [ROCE] of -70.03%, down 11.56 percentage points from FY2024.
- Annual Return on Capital Employed [ROCE] has declined for three straight years, with a five-year change of -21.41 percentage points (FY2020 to FY2025).
- Across earlier years, Return on Capital Employed [ROCE] came in at -58.47% in FY2024 (-1.72 pp), -56.75% in FY2023 (-20.56 pp), -36.19% in FY2022 (+22.76 pp) and -58.95% in FY2021 (-10.32 pp).
- The Q2 2026 figure is the highest quarterly Return on Capital Employed [ROCE] since Q4 2022.
- On a year-over-year basis, Return on Capital Employed [ROCE] rose in two of the last eight quarters, with an average year-over-year change of -20.56 percentage points.
- Peak year-over-year performance for Return on Capital Employed [ROCE] in the last five years was a gain of 233.09 percentage points in Q2 2026, against a drop of 211.82 percentage points in Q2 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at -114.79% (Q1 2026), -87.74% (Q4 2025) and -147.73% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Robinhood Markets | 101.35 Bn | 82.45 Bn | - | 48.09% |
| 2 | Bank of New York Mellon | 98.65 Bn | 38.02 Bn | - | - |
| 3 | Cme | 94.54 Bn | 94.54 Bn | - | 11.13% |
| 4 | Intercontinental Exchange | 84.23 Bn | 78.04 Bn | - | 9.74% |
| 5 | Nasdaq | 50.77 Bn | 48.20 Bn | 1.50 Bn | 11.33% |
| 6 | State Street | 48.31 Bn | 48.31 Bn | - | - |
| 7 | Interactive Brokers | 39.79 Bn | 33.24 Bn | - | - |
| 8 | Northern Trust | 31.37 Bn | 31.37 Bn | - | - |
| 9 | Cboe Global Markets | 28.34 Bn | 20.00 Bn | 731.60 Mn | 24.89% |
| 10 | Fabric.AI | 9.69 Mn | -39.18 Mn | - | -42.08% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -42.08% |
| Mar 31, 2026 | -114.79% |
| Dec 31, 2025 | -87.74% |
| Sep 30, 2025 | -147.73% |
| Jun 30, 2025 | -275.16% |
| Mar 31, 2025 | -136.74% |
| Dec 31, 2024 | -78.54% |
| Sep 30, 2024 | -59.24% |
| Jun 30, 2024 | -63.34% |
| Mar 31, 2024 | -59.51% |
| Dec 31, 2023 | -54.12% |
| Sep 30, 2023 | -50.85% |
| Jun 30, 2023 | -55.62% |
| Mar 31, 2023 | -48.69% |
| Dec 31, 2022 | -41.33% |
| Sep 30, 2022 | -39.29% |
| Jun 30, 2022 | -44.75% |
| Mar 31, 2022 | -44.02% |
| Dec 31, 2021 | -42.60% |
| Sep 30, 2021 | -36.06% |
Fabric.AI Return on Capital Employed [ROCE] 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-capital-employed-%5Broce%5D&ticker=FABC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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-capital-employed-%5Broce%5D&ticker=FABC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();