Gpgi (GPGI) Net Margin (2021 - 2025)
Gpgi's Net Margin came in at -227.34% for FY2025, down 214.57 percentage points from -12.77% in FY2024.
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Analysis
Gpgi (GPGI) Net Margin (2021 - 2025) Analysis & Trends
Going back to FY2019, Gpgi's Net Margin data covers 7 years.
- Net Margin carries a five-year change of -227.41 percentage points (FY2020 to FY2025).
- The FY2025 figure represents the lowest annual Net Margin in data going back to FY2019.
- Per Business Quant, earlier years put Net Margin at -12.77% in FY2024 (-17.70 pp), 4.93% in FY2023 (unchanged), 4.93% in FY2022 (+3.75 pp) and 1.18% in FY2021 (+1.10 pp).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 331.90 Bn | 303.60 Bn | 7.76 Bn | 17.49% |
| 2 | Amphenol | 195.65 Bn | 190.23 Bn | 3.55 Bn | 20.20% |
| 3 | Deere | 171.23 Bn | 139.32 Bn | 4.66 Bn | 10.94% |
| 4 | Eaton | 147.51 Bn | 144.69 Bn | 2.86 Bn | 9.62% |
| 5 | Parker-Hannifin | 119.09 Bn | 117.21 Bn | 2.25 Bn | 18.96% |
| 6 | 3M | 88.58 Bn | 69.98 Bn | 2.68 Bn | 14.35% |
| 7 | Emerson Electric | 87.94 Bn | 80.68 Bn | 2.66 Bn | 14.73% |
| 8 | Vertiv Holdings | 78.13 Bn | 68.75 Bn | 1.23 Bn | 15.20% |
| 9 | Illinois Tool Works | 77.41 Bn | 73.97 Bn | 1.90 Bn | 18.95% |
| 10 | Gpgi | 3.65 Bn | 3.39 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2025 | 35.95% |
| Dec 31, 2024 | -37.01% |
| Sep 30, 2024 | -39.26% |
| Jun 30, 2024 | 10.22% |
| Mar 31, 2024 | 3.87% |
| Dec 31, 2023 | 3.40% |
| Sep 30, 2023 | 7.72% |
| Jun 30, 2023 | 5.82% |
| Mar 31, 2023 | 2.44% |
| Dec 31, 2022 | 3.38% |
| Sep 30, 2022 | 2.73% |
| Jun 30, 2022 | 8.72% |
| Mar 31, 2022 | 4.03% |
| Dec 31, 2021 | -80.00% |
| Sep 30, 2021 | 0.27% |
| Jun 30, 2021 | -34.51% |
| Mar 31, 2021 | 13.99% |
API Access
Gpgi 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=GPGI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-margin", "ticker": "GPGI", "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=GPGI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();