Graco (GGG) EBITDA (2009 - 2026)
Graco's EBITDA was $198.13 million in Q2 2026, up 7.3% from $184.62 million a year earlier and up 19.1% from the prior quarter.
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Analysis
Graco (GGG) EBITDA (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Graco's EBITDA was $743.4 million through Jun 26, 2026, up 9.9% year-over-year; for FY2025, it was $732.23 million, up 11.5% from FY2024.
- EBITDA shows a five-year compound annual growth rate of 10.4% (FY2020 to FY2025).
- In earlier years, EBITDA was $656.85 million in FY2024 (-8.9%), $721.16 million in FY2023 (+12.9%), $638.7 million in FY2022 (+8.1%) and $590.65 million in FY2021 (+32.1%).
- The Q2 2026 figure marks the highest quarterly EBITDA in data going back to Q1 2009.
- Compared with a year earlier, EBITDA was higher in five of the last eight quarters, with growth averaging 3.5%.
- The best year-over-year quarter for EBITDA over five years was Q4 2025 (growth of 23.0%); the worst was Q4 2024 (a decline of 18.6%).
- Per Business Quant data, GGG's EBITDA in the three quarters before Q2 2026 was $166.38 million (Q1 2026), $190.27 million (Q4 2025) and $188.62 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 4.91 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 2.93 Bn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | 2.46 Bn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 1.79 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 1.61 Bn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 753.70 Mn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 1.69 Bn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 1.32 Bn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | 1.25 Bn |
| 10 | Graco | 12.45 Bn | 9.99 Bn | 316.94 Mn | 198.13 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 26, 2026 | 198.13 Mn |
| Mar 27, 2026 | 166.38 Mn |
| Dec 26, 2025 | 190.27 Mn |
| Sep 26, 2025 | 188.62 Mn |
| Jun 27, 2025 | 184.62 Mn |
| Mar 28, 2025 | 168.72 Mn |
| Dec 27, 2024 | 154.71 Mn |
| Sep 27, 2024 | 168.45 Mn |
| Jun 28, 2024 | 181.17 Mn |
| Mar 29, 2024 | 152.51 Mn |
| Dec 29, 2023 | 190.08 Mn |
| Sep 29, 2023 | 181.25 Mn |
| Jun 30, 2023 | 175.18 Mn |
| Mar 31, 2023 | 174.66 Mn |
| Dec 30, 2022 | 170.28 Mn |
| Sep 30, 2022 | 159.92 Mn |
| Jul 1, 2022 | 164.56 Mn |
| Apr 1, 2022 | 143.93 Mn |
| Dec 31, 2021 | 159.07 Mn |
| Sep 24, 2021 | 139.63 Mn |
API Access
Graco EBITDA 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=ebitda&ticker=GGG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=GGG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();