Graco (GGG) Operating Expenses (2009 - 2026)
Graco's Operating Expenses came in at $73.29 million for Q2 2026, down 0.6% from $73.71 million a year earlier but up 0.6% from the prior quarter.
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Analysis
Graco (GGG) Operating Expenses (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 26, 2026, Graco reported Operating Expenses of $294.42 million, up 4.5% year-over-year; for FY2025, it came in at $288.51 million, up 3.5% from FY2024.
- Operating Expenses has increased in each of the last 12 years, with a five-year compound annual growth rate of 6.8% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $278.62 million in FY2024 (+9.6%), $254.27 million in FY2023 (+8.8%), $233.79 million in FY2022 (+1.2%) and $231.1 million in FY2021 (+11.3%).
- The five-year range for quarterly Operating Expenses is $55.82 million (Q4 2022) to $77.74 million (Q4 2025).
- Year-over-year, Operating Expenses increased in six of the last eight quarters, with growth averaging 6.2%.
- The fastest year-over-year change in Operating Expenses over five years came in Q4 2024 (growth of 20.0%), and the weakest in Q2 2022 (a decline of 4.2%).
- Business Quant data shows GGG's Operating Expenses at $72.85 million (Q1 2026), $77.74 million (Q4 2025) and $70.55 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 16.25 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 963.40 Mn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | 10.73 Bn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 1.46 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 874.00 Mn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 490.50 Mn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 1.34 Bn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 5.52 Bn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | - |
| 10 | Graco | 12.45 Bn | 9.99 Bn | 316.94 Mn | 73.29 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 26, 2026 | 73.29 Mn |
| Mar 27, 2026 | 72.85 Mn |
| Dec 26, 2025 | 77.74 Mn |
| Sep 26, 2025 | 70.55 Mn |
| Jun 27, 2025 | 73.71 Mn |
| Mar 28, 2025 | 66.51 Mn |
| Dec 27, 2024 | 76.29 Mn |
| Sep 27, 2024 | 65.26 Mn |
| Jun 28, 2024 | 70.49 Mn |
| Mar 29, 2024 | 66.57 Mn |
| Dec 29, 2023 | 63.55 Mn |
| Sep 29, 2023 | 61.64 Mn |
| Jun 30, 2023 | 65.98 Mn |
| Mar 31, 2023 | 63.09 Mn |
| Dec 30, 2022 | 55.82 Mn |
| Sep 30, 2022 | 56.55 Mn |
| Jul 1, 2022 | 58.30 Mn |
| Apr 1, 2022 | 63.12 Mn |
| Dec 31, 2021 | 55.87 Mn |
| Sep 24, 2021 | 57.56 Mn |
API Access
Graco 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=GGG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "GGG", "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=GGG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();