GenFlat Holdings (GFLT) Return on Sales [ROS] (2020 - 2026)
GenFlat Holdings' Return on Sales [ROS] came in at -54135.87% for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 5517.11 percentage points from -59652.98% a year earlier and up 511.83 percentage points from the prior quarter.
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Analysis
GenFlat Holdings (GFLT) Return on Sales [ROS] (2020 - 2026) Analysis & Trends
Going back to fiscal Q2 2021, GenFlat Holdings' Return on Sales [ROS] data covers 19 quarters.
- Return on Sales [ROS] carries a five-year change of -13675.45 percentage points (FY2021 to FY2026).
- Going back by fiscal year, Return on Sales [ROS] was -59652.98% in FY2025 (-36100.63 pp), -23552.35% in FY2024, -9042.78% in FY2023 (-3399.92 pp) and -5642.86% in FY2022 (+34817.55 pp).
- The five-year range for quarterly Return on Sales [ROS] is -59652.98% (fiscal Q4 2025) to -1539.38% (fiscal Q3 2022).
- Year-over-year, Return on Sales [ROS] increased in two of the last five quarters, with an average year-over-year change of -16947.95 percentage points.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in fiscal Q3 2022 (a gain of 76847.08 percentage points), and the weakest in fiscal Q3 2023 (a drop of 53885.30 percentage points).
- Business Quant data shows GFLT's Return on Sales [ROS] at -54647.70% (Q3 2026), -49391.80% (Q2 2026) and -8176.70% (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 388.70 Bn | 360.40 Bn | 7.76 Bn | 20.91% |
| 2 | Amphenol | 214.42 Bn | 209.12 Bn | 3.55 Bn | 29.51% |
| 3 | Deere | 185.30 Bn | 194.07 Bn | 4.66 Bn | 14.72% |
| 4 | Eaton | 169.35 Bn | 166.59 Bn | 2.86 Bn | 16.32% |
| 5 | Parker-Hannifin | 122.64 Bn | 120.77 Bn | 2.25 Bn | 23.86% |
| 6 | Vertiv Holdings | 97.12 Bn | 87.74 Bn | 1.23 Bn | 19.48% |
| 7 | Emerson Electric | 90.13 Bn | 82.89 Bn | 2.66 Bn | 26.92% |
| 8 | 3M | 83.49 Bn | 64.94 Bn | 2.68 Bn | 15.14% |
| 9 | Illinois Tool Works | 74.89 Bn | 71.45 Bn | 1.90 Bn | 26.67% |
| 10 | GenFlat Holdings | 49.93 Mn | 43.39 Mn | -982.00 | -54,135.87% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -54,135.87% |
| Mar 31, 2026 | -54,647.70% |
| Dec 31, 2025 | -49,391.80% |
| Sep 30, 2025 | -8,176.70% |
| Jun 30, 2025 | -59,652.98% |
| Mar 31, 2025 | -27,186.79% |
| Dec 31, 2024 | -24,444.21% |
| Sep 30, 2024 | -22,384.68% |
| Jun 30, 2024 | -7,596.62% |
| May 31, 2023 | -8,204.51% |
| Nov 30, 2022 | -55,424.68% |
| Aug 31, 2022 | -8,012.47% |
| May 31, 2022 | -3,371.97% |
| Feb 28, 2022 | -5,642.86% |
| Nov 30, 2021 | -1,539.38% |
| Aug 31, 2021 | -1,840.48% |
| May 31, 2021 | -5,305.38% |
| Feb 28, 2021 | -2,600.50% |
| Nov 30, 2020 | -78,386.46% |
| Aug 31, 2020 | -73,152.66% |
API Access
GenFlat Holdings 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=GFLT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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-sales-%5Bros%5D&ticker=GFLT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();