Gpgi (GPGI) EBITDA Margin (2021 - 2025)
Gpgi's EBITDA Margin came in at -20.24% for FY2025, down 48.01 percentage points from 27.77% in FY2024.
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Analysis
Gpgi (GPGI) EBITDA Margin (2021 - 2025) Analysis & Trends
Going back to FY2019, Gpgi's EBITDA Margin data covers 7 years.
- EBITDA Margin carries a five-year change of -56.26 percentage points (FY2020 to FY2025).
- The FY2025 figure represents the lowest annual EBITDA Margin in data going back to FY2019.
- Per Business Quant, earlier years put EBITDA Margin at 27.77% in FY2024 (-4.86 pp), 32.63% in FY2023 (+0.01 pp), 32.62% in FY2022 (-1.66 pp) and 34.28% in FY2021 (-1.74 pp).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 337.14 Bn | 308.83 Bn | 7.76 Bn | 23.91% |
| 2 | Amphenol | 196.52 Bn | 191.10 Bn | 3.55 Bn | 33.41% |
| 3 | Deere | 169.79 Bn | 137.88 Bn | 4.66 Bn | 19.50% |
| 4 | Eaton | 152.20 Bn | 149.38 Bn | 2.86 Bn | 20.99% |
| 5 | Parker-Hannifin | 120.08 Bn | 118.20 Bn | 2.25 Bn | 27.98% |
| 6 | Emerson Electric | 90.92 Bn | 83.66 Bn | 2.66 Bn | 34.66% |
| 7 | 3M | 88.73 Bn | 70.13 Bn | 2.68 Bn | 20.29% |
| 8 | Vertiv Holdings | 82.11 Bn | 72.73 Bn | 1.23 Bn | 23.04% |
| 9 | Illinois Tool Works | 78.99 Bn | 75.55 Bn | 1.90 Bn | 28.95% |
| 10 | Gpgi | 3.73 Bn | 3.48 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2025 | 12.83% |
| Dec 31, 2024 | 17.89% |
| Sep 30, 2024 | 29.60% |
| Jun 30, 2024 | 31.77% |
| Mar 31, 2024 | 32.40% |
| Dec 31, 2023 | 32.98% |
| Sep 30, 2023 | 32.45% |
| Jun 30, 2023 | 33.11% |
| Mar 31, 2023 | 33.58% |
| Dec 31, 2022 | 29.21% |
| Sep 30, 2022 | 27.30% |
| Jun 30, 2022 | 38.34% |
| Mar 31, 2022 | 39.14% |
| Sep 30, 2021 | 37.21% |
| Jun 30, 2021 | 43.59% |
| Mar 31, 2021 | 45.87% |
API Access
Gpgi EBITDA 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=ebitda-margin&ticker=GPGI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-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=ebitda-margin&ticker=GPGI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();