GenFlat Holdings (GFLT) Return on Capital Employed [ROCE] (2020 - 2026)
GenFlat Holdings' Return on Capital Employed [ROCE] was -65.52% in fiscal Q4 2026 (quarter ended Jun 30, 2026), up 361.06 percentage points from -426.58% a year earlier and up 44.19 percentage points from the prior quarter.
GenFlat Holdings (GFLT) Return on Capital Employed [ROCE] (2020 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Return on Capital Employed [ROCE] at GenFlat Holdings came in at -134.10%, up 315.78 percentage points from FY2025.
- Return on Capital Employed [ROCE] shows a five-year change of +4903.08 percentage points (FY2021 to FY2026).
- In earlier fiscal years, Return on Capital Employed [ROCE] was -449.88% in FY2025 (-338.89 pp), -110.99% in FY2024 (+81.78 pp) and -192.76% in FY2023.
- The fiscal Q4 2026 figure marks the highest quarterly Return on Capital Employed [ROCE] since fiscal Q3 2024.
- Compared with a year earlier, Return on Capital Employed [ROCE] was higher in two of the last six quarters, with an average year-over-year change of -809.79 percentage points.
- The best year-over-year quarter for Return on Capital Employed [ROCE] over five years was fiscal Q3 2022 (a gain of 6947.81 percentage points); the worst was fiscal Q2 2023 (a drop of 16502.99 percentage points).
- Per Business Quant data, GFLT's Return on Capital Employed [ROCE] in the three fiscal quarters before Q4 2026 was -109.71% (Q3 2026), -3556.48% (Q2 2026) and -1623.96% (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 388.70 Bn | 360.40 Bn | 7.76 Bn | 22.08% |
| 2 | Amphenol | 214.42 Bn | 209.12 Bn | 3.55 Bn | 23.04% |
| 3 | Deere | 185.30 Bn | 194.07 Bn | 4.66 Bn | - |
| 4 | Eaton | 169.35 Bn | 166.59 Bn | 2.86 Bn | 12.16% |
| 5 | Parker-Hannifin | 122.64 Bn | 120.77 Bn | 2.25 Bn | 18.77% |
| 6 | Vertiv Holdings | 97.12 Bn | 87.74 Bn | 1.23 Bn | 29.36% |
| 7 | Emerson Electric | 90.13 Bn | 82.89 Bn | 2.66 Bn | 14.90% |
| 8 | 3M | 83.49 Bn | 64.94 Bn | 2.68 Bn | 19.43% |
| 9 | Illinois Tool Works | 74.89 Bn | 71.45 Bn | 1.90 Bn | 41.86% |
| 10 | GenFlat Holdings | 49.93 Mn | 43.39 Mn | -982.00 | -65.52% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -65.52% |
| Mar 31, 2026 | -109.71% |
| Dec 31, 2025 | -3,556.48% |
| Sep 30, 2025 | -1,623.96% |
| Jun 30, 2025 | -426.58% |
| Mar 31, 2025 | -196.59% |
| Dec 31, 2024 | -184.01% |
| Sep 30, 2024 | -189.26% |
| Jun 30, 2024 | -77.61% |
| Mar 31, 2024 | -46.06% |
| Aug 31, 2022 | -16,719.14% |
| Feb 28, 2022 | -615.99% |
| Nov 30, 2021 | -116.85% |
| Aug 31, 2021 | -216.15% |
| Nov 30, 2020 | -7,064.66% |
GenFlat Holdings 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=GFLT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "GFLT", "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=GFLT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();