Gpgi (GPGI) EV to EBITDA (2022 - 2025)
Gpgi's (GPGI) EV to EBITDA came in at 191.77 for Q3 2025, compared with 6.83 a year earlier and up 623.8% from the prior quarter.
Gpgi (GPGI) EV to EBITDA (2022 - 2025) Analysis & Trends
For the trailing twelve months through Sep 30, 2025, EV to EBITDA at Gpgi was 184.67; for FY2024, it was 8.25, up 233.6% from FY2023.
- In prior years, Gpgi's EV to EBITDA was 2.47 in FY2023 (+1.9%), 2.43 in FY2022 (-55.1%), 5.41 in FY2021 (+198.8%) and 1.81 in FY2020.
- The Q3 2025 figure stands as the highest quarterly EV to EBITDA in data going back to Q1 2022.
- On a year-over-year basis, EV to EBITDA increased in five of the last seven quarters, with growth averaging 186.0%.
- The strongest year-over-year quarter for EV to EBITDA in the past five years was Q2 2025, with growth of 714.1%; the weakest was Q1 2024, with a decline of 11.1%.
- According to Business Quant data, EV to EBITDA for the three prior quarters was 26.49 (Q2 2025), 12.11 (Q1 2025) and 8.25 (Q4 2024).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Caterpillar | 333.93 Bn | 305.63 Bn | 7.76 Bn |
| 2 | Amphenol | 194.70 Bn | 189.28 Bn | 3.55 Bn |
| 3 | Deere | 171.25 Bn | 139.34 Bn | 4.66 Bn |
| 4 | Eaton | 148.23 Bn | 145.42 Bn | 2.86 Bn |
| 5 | Parker-Hannifin | 118.88 Bn | 117.00 Bn | 2.25 Bn |
| 6 | 3M | 89.19 Bn | 70.59 Bn | 2.68 Bn |
| 7 | Emerson Electric | 89.18 Bn | 81.91 Bn | 2.66 Bn |
| 8 | Illinois Tool Works | 78.36 Bn | 74.92 Bn | 1.90 Bn |
| 9 | Vertiv Holdings | 78.17 Bn | 68.79 Bn | 1.23 Bn |
| 10 | Gpgi | 3.80 Bn | 3.55 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 187.83 |
| Jun 30, 2025 | 26.22 |
| Mar 31, 2025 | 12.00 |
| Dec 31, 2024 | 8.17 |
| Sep 30, 2024 | 6.77 |
| Jun 30, 2024 | 3.22 |
| Mar 31, 2024 | 3.28 |
| Dec 31, 2023 | 2.44 |
| Sep 30, 2023 | 3.25 |
| Jun 30, 2023 | 3.54 |
| Mar 31, 2023 | 3.66 |
| Dec 31, 2022 | 2.38 |
| Sep 30, 2022 | 2.46 |
| Jun 30, 2022 | 2.58 |
| Mar 31, 2022 | 4.06 |
Gpgi EV to EBITDA 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=ev-to-ebitda&ticker=GPGI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "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=ev-to-ebitda&ticker=GPGI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();