Gpgi (GPGI) Operating Expenses (2020 - 2026)
Gpgi (GPGI) posted Operating Expenses of $9.4 million for Q2 2026, up 261.5% from $2.6 million a year earlier but down 83.1% from the prior quarter.
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Analysis
Gpgi (GPGI) Operating Expenses (2020 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Gpgi was $82.12 million, down 7.3% year-over-year; for FY2025, it was $42.48 million, down 61.9% from FY2024.
- Annual Operating Expenses shows a five-year compound annual growth rate of 195.4% (FY2020 to FY2025).
- In prior years, Gpgi's Operating Expenses was $111.61 million in FY2024 (+24.0%), $90 million in FY2023 (-14.1%), $104.75 million in FY2022 (+65.2%) and $63.42 million in FY2021.
- Quarterly Operating Expenses has run from a low of $498,591 in Q3 2021 to a high of $55.6 million in Q1 2026 over five years.
- On a year-over-year basis, Operating Expenses increased in four of the last eight quarters, with growth averaging 33.1%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q2 2026, with growth of 261.5%; the weakest was Q2 2025, with a decline of 89.3%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $55.6 million (Q1 2026), $7.18 million (Q4 2025) and $9.94 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 333.79 Bn | 305.49 Bn | 7.76 Bn | 16.25 Bn |
| 2 | Amphenol | 197.60 Bn | 192.18 Bn | 3.55 Bn | 963.40 Mn |
| 3 | Deere | 169.21 Bn | 137.30 Bn | 4.66 Bn | 10.73 Bn |
| 4 | Eaton | 152.39 Bn | 149.57 Bn | 2.86 Bn | 1.46 Bn |
| 5 | Parker-Hannifin | 122.22 Bn | 120.34 Bn | 2.25 Bn | 874.00 Mn |
| 6 | Emerson Electric | 89.77 Bn | 82.51 Bn | 2.66 Bn | 1.34 Bn |
| 7 | 3M | 84.26 Bn | 65.66 Bn | 2.68 Bn | 5.52 Bn |
| 8 | Vertiv Holdings | 79.29 Bn | 69.91 Bn | 1.23 Bn | 490.50 Mn |
| 9 | Illinois Tool Works | 77.45 Bn | 74.01 Bn | 1.90 Bn | - |
| 10 | Gpgi | 3.61 Bn | 3.35 Bn | - | 9.40 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 9.40 Mn |
| Mar 31, 2026 | 55.60 Mn |
| Dec 31, 2025 | 7.18 Mn |
| Sep 30, 2025 | 9.94 Mn |
| Jun 30, 2025 | 2.60 Mn |
| Mar 31, 2025 | 22.70 Mn |
| Dec 31, 2024 | 36.93 Mn |
| Sep 30, 2024 | 26.32 Mn |
| Jun 30, 2024 | 24.28 Mn |
| Mar 31, 2024 | 24.08 Mn |
| Dec 31, 2023 | 22.37 Mn |
| Sep 30, 2023 | 20.10 Mn |
| Jun 30, 2023 | 23.59 Mn |
| Mar 31, 2023 | 23.94 Mn |
| Dec 31, 2022 | 25.42 Mn |
| Sep 30, 2022 | 36.12 Mn |
| Jun 30, 2022 | 24.43 Mn |
| Mar 31, 2022 | 18.78 Mn |
| Dec 31, 2021 | 35.91 Mn |
| Sep 30, 2021 | 498,591.00 |
API Access
Gpgi Operating 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=operating-expenses&ticker=GPGI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=GPGI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();