Gpgi (GPGI) Enterprise Value (2020 - 2026)
Gpgi (GPGI) reported Enterprise Value of $4.59 billion for Q2 2026, up 219.1% from $1.44 billion a year earlier but down 7.3% from the prior quarter.
Gpgi (GPGI) Enterprise Value (2020 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Gpgi's Enterprise Value came in at $4.34 billion, up 234.2% year-over-year; for FY2025, it came in at $2.02 billion, up 109.3% from FY2024.
- Enterprise Value has increased for three consecutive years, with a five-year compound annual growth rate of 64.0% (FY2020 to FY2025).
- By year, Enterprise Value came in at $963.29 million in FY2024 (+205.6%), $315.17 million in FY2023 (+5.2%), $299.59 million in FY2022 (-39.7%) and $496.83 million in FY2021 (+192.4%).
- Five-year quarterly Enterprise Value spans a low of $243.12 million in Q3 2021 and a high of $4.95 billion in Q1 2026.
- Year over year, Enterprise Value has now increased in each of the last nine quarters, with growth averaging 197.2% over the last eight quarters.
- The high point for year-over-year Enterprise Value in five years was Q1 2026 (growth of 348.9%); the low point was Q4 2022 (a decline of 39.7%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $4.95 billion (Q1 2026), $2.02 billion (Q4 2025) and $2.48 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Caterpillar | 334.06 Bn | 305.75 Bn | 7.76 Bn |
| 2 | Amphenol | 195.22 Bn | 189.80 Bn | 3.55 Bn |
| 3 | Deere | 170.77 Bn | 138.86 Bn | 4.66 Bn |
| 4 | Eaton | 148.39 Bn | 145.58 Bn | 2.86 Bn |
| 5 | Parker-Hannifin | 119.49 Bn | 117.61 Bn | 2.25 Bn |
| 6 | Emerson Electric | 89.58 Bn | 82.32 Bn | 2.66 Bn |
| 7 | 3M | 88.93 Bn | 70.33 Bn | 2.68 Bn |
| 8 | Illinois Tool Works | 78.81 Bn | 75.37 Bn | 1.90 Bn |
| 9 | Vertiv Holdings | 78.25 Bn | 68.87 Bn | 1.23 Bn |
| 10 | Gpgi | 3.69 Bn | 3.43 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.59 Bn |
| Mar 31, 2026 | 4.95 Bn |
| Dec 31, 2025 | 2.02 Bn |
| Sep 30, 2025 | 2.48 Bn |
| Jun 30, 2025 | 1.44 Bn |
| Mar 31, 2025 | 1.10 Bn |
| Dec 31, 2024 | 963.29 Mn |
| Sep 30, 2024 | 898.96 Mn |
| Jun 30, 2024 | 426.53 Mn |
| Mar 31, 2024 | 428.19 Mn |
| Dec 31, 2023 | 315.17 Mn |
| Sep 30, 2023 | 400.97 Mn |
| Jun 30, 2023 | 425.69 Mn |
| Mar 31, 2023 | 456.41 Mn |
| Dec 31, 2022 | 299.59 Mn |
| Sep 30, 2022 | 302.16 Mn |
| Jun 30, 2022 | 315.38 Mn |
| Mar 31, 2022 | 463.90 Mn |
| Dec 31, 2021 | 496.83 Mn |
| Sep 30, 2021 | 243.12 Mn |
Gpgi Enterprise Value 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=enterprise-value&ticker=GPGI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=GPGI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();