Gpgi (GPGI) Operating Margin (2021 - 2025)
Gpgi's Operating Margin came in at -22.95% for FY2025, down 48.54 percentage points from 25.59% in FY2024.
Analysis
Gpgi (GPGI) Operating Margin (2021 - 2025) Analysis & Trends
Going back to FY2019, Gpgi's Operating Margin data covers 7 years.
- Operating Margin carries a five-year change of -55.17 percentage points (FY2020 to FY2025).
- The FY2025 figure represents the lowest annual Operating Margin in data going back to FY2019.
- Per Business Quant, earlier years put Operating Margin at 25.59% in FY2024 (-4.90 pp), 30.49% in FY2023 (+0.13 pp), 30.36% in FY2022 (-0.03 pp) and 30.39% in FY2021 (-1.83 pp).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 334.55 Bn | 306.24 Bn | 7.76 Bn | 20.91% |
| 2 | Amphenol | 194.80 Bn | 189.38 Bn | 3.55 Bn | 29.51% |
| 3 | Deere | 171.65 Bn | 139.74 Bn | 4.66 Bn | 14.72% |
| 4 | Eaton | 148.10 Bn | 145.28 Bn | 2.86 Bn | 16.32% |
| 5 | Parker-Hannifin | 118.74 Bn | 116.87 Bn | 2.25 Bn | 23.86% |
| 6 | Emerson Electric | 89.30 Bn | 82.04 Bn | 2.66 Bn | 26.92% |
| 7 | 3M | 88.95 Bn | 70.35 Bn | 2.68 Bn | 15.14% |
| 8 | Illinois Tool Works | 78.53 Bn | 75.09 Bn | 1.90 Bn | 26.67% |
| 9 | Vertiv Holdings | 78.31 Bn | 68.93 Bn | 1.23 Bn | 19.48% |
| 10 | Gpgi | 3.76 Bn | 3.50 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2025 | 10.03% |
| Dec 31, 2024 | 15.47% |
| Sep 30, 2024 | 27.15% |
| Jun 30, 2024 | 29.28% |
| Mar 31, 2024 | 29.94% |
| Dec 31, 2023 | 30.56% |
| Sep 30, 2023 | 29.73% |
| Jun 30, 2023 | 30.80% |
| Mar 31, 2023 | 30.86% |
| Dec 31, 2022 | 26.50% |
| Sep 30, 2022 | 24.82% |
| Jun 30, 2022 | 35.41% |
| Mar 31, 2022 | 35.62% |
| Dec 31, 2021 | 12.22% |
| Sep 30, 2021 | 32.63% |
| Jun 30, 2021 | 38.84% |
| Mar 31, 2021 | 41.21% |
API Access
Gpgi Operating 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=operating-margin&ticker=GPGI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-margin&ticker=GPGI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();