Gpgi (GPGI) Cash & Equivalents (2020 - 2026)
Gpgi's Cash & Equivalents came in at $7.7 million for Q2 2026, up 60.1% from $4.81 million a year earlier and up 18.5% from the prior quarter.
Analysis
Gpgi (GPGI) Cash & Equivalents (2020 - 2026) Analysis & Trends
At the end of FY2025, Gpgi's Cash & Equivalents was $114.6 million, up 47.9% from FY2024.
- Cash & Equivalents has increased in each of the last three years, with a five-year compound annual growth rate of 53.6% (FY2020 to FY2025).
- Going back by year, Cash & Equivalents was $77.46 million in FY2024 (+87.9%), $41.22 million in FY2023 (+202.1%), $13.64 million in FY2022 (-37.8%) and $21.94 million in FY2021 (+63.5%).
- The five-year range for quarterly Cash & Equivalents is $15,158 (Q3 2021) to $127.36 million (Q3 2025).
- Year-over-year, Cash & Equivalents increased in five of the last eight quarters, with growth averaging 32.3%.
- The fastest year-over-year change in Cash & Equivalents over five years came in Q4 2023 (growth of 202.1%), and the weakest in Q2 2025 (a decline of 86.4%).
- Business Quant data shows GPGI's Cash & Equivalents at $6.5 million (Q1 2026), $114.6 million (Q4 2025) and $127.36 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 334.06 Bn | 305.75 Bn | 7.76 Bn | 6.71 Bn |
| 2 | Amphenol | 195.22 Bn | 189.80 Bn | 3.55 Bn | 4.73 Bn |
| 3 | Deere | 170.77 Bn | 138.86 Bn | 4.66 Bn | 8.93 Bn |
| 4 | Eaton | 148.39 Bn | 145.58 Bn | 2.86 Bn | 483.00 Mn |
| 5 | Parker-Hannifin | 119.49 Bn | 117.61 Bn | 2.25 Bn | 501.00 Mn |
| 6 | Emerson Electric | 89.58 Bn | 82.32 Bn | 2.66 Bn | 2.18 Bn |
| 7 | 3M | 88.93 Bn | 70.33 Bn | 2.68 Bn | 2.96 Bn |
| 8 | Illinois Tool Works | 78.81 Bn | 75.37 Bn | 1.90 Bn | 839.00 Mn |
| 9 | Vertiv Holdings | 78.25 Bn | 68.87 Bn | 1.23 Bn | 2.81 Bn |
| 10 | Gpgi | 3.69 Bn | 3.43 Bn | - | 7.70 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.70 Mn |
| Mar 31, 2026 | 6.50 Mn |
| Dec 31, 2025 | 114.60 Mn |
| Sep 30, 2025 | 127.36 Mn |
| Jun 30, 2025 | 4.81 Mn |
| Mar 31, 2025 | 9.51 Mn |
| Dec 31, 2024 | 77.46 Mn |
| Sep 30, 2024 | 52.67 Mn |
| Jun 30, 2024 | 35.39 Mn |
| Mar 31, 2024 | 55.15 Mn |
| Dec 31, 2023 | 41.22 Mn |
| Sep 30, 2023 | 23.82 Mn |
| Jun 30, 2023 | 22.61 Mn |
| Mar 31, 2023 | 22.57 Mn |
| Dec 31, 2022 | 13.64 Mn |
| Sep 30, 2022 | 15.43 Mn |
| Jun 30, 2022 | 13.39 Mn |
| Mar 31, 2022 | 15.48 Mn |
| Dec 31, 2021 | 21.94 Mn |
| Sep 30, 2021 | 15,158.00 |
API Access
Gpgi Cash & Equivalents 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=cash-and-equivalents&ticker=GPGI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=GPGI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();