Graco (GGG) Total Non-Current Liabilities (2009 - 2026)
Graco's Total Non-Current Liabilities was $597.2 million in Q2 2026, up 13.9% from $524.21 million a year earlier and up 2.7% from the prior quarter.
Graco (GGG) Total Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Total Non-Current Liabilities at Graco came in at $609.28 million, up 13.6% from FY2024.
- Total Non-Current Liabilities shows a five-year compound annual growth rate of -2.6% (FY2020 to FY2025).
- In earlier years, Total Non-Current Liabilities was $536.29 million in FY2024 (+8.2%), $495.55 million in FY2023 (-12.6%), $567.09 million in FY2022 (-21.6%) and $722.88 million in FY2021 (+3.9%).
- Quarterly Total Non-Current Liabilities has moved between $448.97 million (Q1 2024) and $801.96 million (Q3 2021) over five years.
- Compared with a year earlier, Total Non-Current Liabilities has increased for seven straight quarters, with growth averaging 13.2% over the last eight quarters.
- The best year-over-year quarter for Total Non-Current Liabilities over five years was Q3 2025 (growth of 33.3%); the worst was Q3 2023 (a decline of 24.1%).
- Per Business Quant data, GGG's Total Non-Current Liabilities in the three quarters before Q2 2026 was $581.62 million (Q1 2026), $609.28 million (Q4 2025) and $613.14 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 75.57 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 28.16 Bn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | - |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 23.97 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 14.72 Bn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 10.73 Bn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 18.30 Bn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 23.79 Bn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | 7.65 Bn |
| 10 | Graco | 12.45 Bn | 9.99 Bn | 316.94 Mn | 597.20 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 26, 2026 | 597.20 Mn |
| Mar 27, 2026 | 581.62 Mn |
| Dec 26, 2025 | 609.28 Mn |
| Sep 26, 2025 | 613.14 Mn |
| Jun 27, 2025 | 524.21 Mn |
| Mar 28, 2025 | 511.19 Mn |
| Dec 27, 2024 | 536.29 Mn |
| Sep 27, 2024 | 459.84 Mn |
| Jun 28, 2024 | 459.32 Mn |
| Mar 29, 2024 | 448.97 Mn |
| Dec 29, 2023 | 495.55 Mn |
| Sep 29, 2023 | 484.30 Mn |
| Jun 30, 2023 | 580.41 Mn |
| Mar 31, 2023 | 549.06 Mn |
| Dec 30, 2022 | 567.09 Mn |
| Sep 30, 2022 | 637.81 Mn |
| Jul 1, 2022 | 634.78 Mn |
| Apr 1, 2022 | 616.84 Mn |
| Dec 31, 2021 | 722.88 Mn |
| Sep 24, 2021 | 801.96 Mn |
Graco Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=GGG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=GGG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();