Gpgi (GPGI) Total Non-Current Liabilities (2020 - 2026)
Gpgi's Total Non-Current Liabilities was $5.2 million in Q2 2026, down 96.0% from $130.03 million a year earlier but up 15.6% from the prior quarter.
Gpgi (GPGI) Total Non-Current Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Total Non-Current Liabilities at Gpgi came in at $18.9 million, down 94.8% from FY2024.
- Total Non-Current Liabilities has now declined for four consecutive years, with a five-year compound annual growth rate of -41.4% (FY2020 to FY2025).
- In earlier years, Total Non-Current Liabilities was $363.72 million in FY2024 (-63.4%), $995.11 million in FY2023 (-4.2%), $1.04 billion in FY2022 (-6.6%) and $1.11 billion in FY2021 (+306.6%).
- Quarterly Total Non-Current Liabilities has moved between $4.5 million (Q1 2026) and $1.13 billion (Q1 2022) over five years.
- Compared with a year earlier, Total Non-Current Liabilities has declined for 15 straight quarters, with an average decline of 82.2% over the last eight quarters.
- The best year-over-year quarter for Total Non-Current Liabilities over five years was Q4 2021 (growth of 306.6%); the worst was Q1 2026 (a decline of 96.4%).
- Per Business Quant data, GPGI's Total Non-Current Liabilities in the three quarters before Q2 2026 was $4.5 million (Q1 2026), $18.9 million (Q4 2025) and $83.79 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 333.79 Bn | 305.49 Bn | 7.76 Bn | 75.57 Bn |
| 2 | Amphenol | 197.60 Bn | 192.18 Bn | 3.55 Bn | 28.16 Bn |
| 3 | Deere | 169.21 Bn | 137.30 Bn | 4.66 Bn | - |
| 4 | Eaton | 152.39 Bn | 149.57 Bn | 2.86 Bn | 23.97 Bn |
| 5 | Parker-Hannifin | 122.22 Bn | 120.34 Bn | 2.25 Bn | 14.72 Bn |
| 6 | Emerson Electric | 89.77 Bn | 82.51 Bn | 2.66 Bn | 18.30 Bn |
| 7 | 3M | 84.26 Bn | 65.66 Bn | 2.68 Bn | 23.79 Bn |
| 8 | Vertiv Holdings | 79.29 Bn | 69.91 Bn | 1.23 Bn | 10.73 Bn |
| 9 | Illinois Tool Works | 77.45 Bn | 74.01 Bn | 1.90 Bn | 7.65 Bn |
| 10 | Gpgi | 3.61 Bn | 3.35 Bn | - | -261.20 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -261.20 Mn |
| Mar 31, 2026 | -268.40 Mn |
| Dec 31, 2025 | 18.90 Mn |
| Sep 30, 2025 | -210.76 Mn |
| Jun 30, 2025 | -241.82 Mn |
| Mar 31, 2025 | -206.64 Mn |
| Dec 31, 2024 | 10.95 Mn |
| Sep 30, 2024 | 167.59 Mn |
| Jun 30, 2024 | 840.78 Mn |
| Mar 31, 2024 | 941.79 Mn |
| Dec 31, 2023 | 995.11 Mn |
| Sep 30, 2023 | 965.68 Mn |
| Jun 30, 2023 | 974.87 Mn |
| Mar 31, 2023 | 992.17 Mn |
| Dec 31, 2022 | 1.04 Bn |
| Sep 30, 2022 | 1.09 Bn |
| Jun 30, 2022 | 1.09 Bn |
| Mar 31, 2022 | 1.13 Bn |
| Dec 31, 2021 | 1.11 Bn |
| Dec 31, 2020 | 273.50 Mn |
Gpgi 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=GPGI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=GPGI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();