GenFlat Holdings (GFLT) Net Margin (2020 - 2025)
GenFlat Holdings (GFLT) reported Net Margin of -53515.07% for FY2026 (year ended Jun 30, 2026), up 5618.88 percentage points from -59133.95% in FY2025.
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Analysis
GenFlat Holdings (GFLT) Net Margin (2020 - 2025) Analysis & Trends
Dating back to FY2021, GenFlat Holdings' Net Margin record includes 6 fiscal years.
- Net Margin has a five-year change of -13016.73 percentage points (FY2021 to FY2026).
- Five-year annual Net Margin spans a low of -59133.95% in FY2025 and a high of -5708.66% in FY2022.
- According to Business Quant data, Net Margin came in at -59133.95% in FY2025 (-35932.13 pp), -23201.82% in FY2024, -8842.68% in FY2023 (-3134.02 pp) and -5708.66% in FY2022 (+34789.68 pp).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 336.89 Bn | 308.59 Bn | 7.76 Bn | 17.49% |
| 2 | Amphenol | 196.03 Bn | 190.61 Bn | 3.55 Bn | 20.20% |
| 3 | Deere | 169.80 Bn | 137.90 Bn | 4.66 Bn | 10.94% |
| 4 | Eaton | 151.30 Bn | 148.49 Bn | 2.86 Bn | 9.62% |
| 5 | Parker-Hannifin | 120.33 Bn | 118.45 Bn | 2.25 Bn | 18.96% |
| 6 | Emerson Electric | 90.81 Bn | 83.55 Bn | 2.66 Bn | 14.73% |
| 7 | 3M | 88.88 Bn | 70.28 Bn | 2.68 Bn | 14.35% |
| 8 | Vertiv Holdings | 81.30 Bn | 71.92 Bn | 1.23 Bn | 15.20% |
| 9 | Illinois Tool Works | 79.03 Bn | 75.59 Bn | 1.90 Bn | 18.95% |
| 10 | GenFlat Holdings | 77.32 Mn | 70.78 Mn | -982.00 | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | -8,143.81% |
| Sep 30, 2024 | -22,345.34% |
| Jun 30, 2024 | -7,439.38% |
| May 31, 2022 | -2,810.93% |
| Nov 30, 2021 | -1,581.18% |
| Aug 31, 2021 | -1,899.62% |
| May 31, 2021 | -5,312.33% |
| Feb 28, 2021 | -2,676.32% |
| Aug 31, 2020 | -73,152.66% |
API Access
GenFlat Holdings Net Margin 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=net-margin&ticker=GFLT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-margin", "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=net-margin&ticker=GFLT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();