Gpgi (GPGI) Accumulated Expenses (2020 - 2026)
Gpgi's Accumulated Expenses was $3 million in Q2 2026, down 79.5% from $14.6 million a year earlier and down 3.2% from the prior quarter.
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Analysis
Gpgi (GPGI) Accumulated Expenses (2020 - 2026) Analysis & Trends
At the end of FY2025, Accumulated Expenses at Gpgi came in at $1.8 million, down 87.7% from FY2024.
- Accumulated Expenses shows a five-year compound annual growth rate of -31.1% (FY2020 to FY2025).
- In earlier years, Accumulated Expenses was $14.68 million in FY2024 (+22.5%), $11.99 million in FY2023 (+18.0%), $10.15 million in FY2022 (+0.2%) and $10.13 million in FY2021 (-12.3%).
- Quarterly Accumulated Expenses has moved between $1.8 million (Q4 2025) and $40.84 million (Q3 2025) over five years.
- Compared with a year earlier, Accumulated Expenses has declined for three straight quarters, with growth averaging 12.0% over the last eight quarters.
- The best year-over-year quarter for Accumulated Expenses over five years was Q3 2025 (growth of 203.1%); the worst was Q1 2026 (a decline of 89.2%).
- Per Business Quant data, GPGI's Accumulated Expenses in the three quarters before Q2 2026 was $3.1 million (Q1 2026), $1.8 million (Q4 2025) and $40.84 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Caterpillar | 333.79 Bn | 305.49 Bn | 7.76 Bn |
| 2 | Amphenol | 197.60 Bn | 192.18 Bn | 3.55 Bn |
| 3 | Deere | 169.21 Bn | 137.30 Bn | 4.66 Bn |
| 4 | Eaton | 152.39 Bn | 149.57 Bn | 2.86 Bn |
| 5 | Parker-Hannifin | 122.22 Bn | 120.34 Bn | 2.25 Bn |
| 6 | Emerson Electric | 89.77 Bn | 82.51 Bn | 2.66 Bn |
| 7 | 3M | 84.26 Bn | 65.66 Bn | 2.68 Bn |
| 8 | Vertiv Holdings | 79.29 Bn | 69.91 Bn | 1.23 Bn |
| 9 | Illinois Tool Works | 77.45 Bn | 74.01 Bn | 1.90 Bn |
| 10 | Gpgi | 3.61 Bn | 3.35 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.00 Mn |
| Mar 31, 2026 | 3.10 Mn |
| Dec 31, 2025 | 1.80 Mn |
| Sep 30, 2025 | 40.84 Mn |
| Jun 30, 2025 | 14.60 Mn |
| Mar 31, 2025 | 28.59 Mn |
| Dec 31, 2024 | 14.68 Mn |
| Sep 30, 2024 | 13.47 Mn |
| Jun 30, 2024 | 12.18 Mn |
| Mar 31, 2024 | 13.47 Mn |
| Dec 31, 2023 | 11.99 Mn |
| Sep 30, 2023 | 14.22 Mn |
| Jun 30, 2023 | 10.77 Mn |
| Mar 31, 2023 | 12.22 Mn |
| Dec 31, 2022 | 10.15 Mn |
| Sep 30, 2022 | 20.42 Mn |
| Jun 30, 2022 | 23.48 Mn |
| Mar 31, 2022 | 16.64 Mn |
| Dec 31, 2021 | 10.13 Mn |
| Dec 31, 2020 | 11.56 Mn |
API Access
Gpgi Accumulated Expenses 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=accumulated-expenses&ticker=GPGI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=GPGI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();