Gpgi (GPGI) Total Liabilities (2020 - 2026)
Gpgi's Total Liabilities was $290.1 million in Q2 2026, down 23.5% from $379 million a year earlier and down 2.6% from the prior quarter.
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Analysis
Gpgi (GPGI) Total Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Total Liabilities at Gpgi came in at $274.1 million, down 55.6% from FY2024.
- Total Liabilities has now declined for four consecutive years, with a five-year compound annual growth rate of 0.0% (FY2020 to FY2025).
- In earlier years, Total Liabilities was $617.42 million in FY2024 (-38.5%), $1 billion in FY2023 (-4.9%), $1.06 billion in FY2022 (-8.0%) and $1.15 billion in FY2021 (+318.9%).
- Quarterly Total Liabilities has moved between $274.1 million (Q4 2025) and $1.15 billion (Q4 2021) over five years.
- Compared with a year earlier, Total Liabilities has declined for 15 straight quarters, with an average decline of 42.8% over the last eight quarters.
- The best year-over-year quarter for Total Liabilities over five years was Q4 2021 (growth of 318.9%); the worst was Q1 2025 (a decline of 62.3%).
- Per Business Quant data, GPGI's Total Liabilities in the three quarters before Q2 2026 was $297.8 million (Q1 2026), $274.1 million (Q4 2025) and $353.01 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 334.06 Bn | 305.75 Bn | 7.76 Bn | 83.22 Bn |
| 2 | Amphenol | 195.22 Bn | 189.80 Bn | 3.55 Bn | 29.19 Bn |
| 3 | Deere | 170.77 Bn | 138.86 Bn | 4.66 Bn | 79.61 Bn |
| 4 | Eaton | 148.39 Bn | 145.58 Bn | 2.86 Bn | 35.88 Bn |
| 5 | Parker-Hannifin | 119.49 Bn | 117.61 Bn | 2.25 Bn | 15.46 Bn |
| 6 | Emerson Electric | 89.58 Bn | 82.32 Bn | 2.66 Bn | 21.81 Bn |
| 7 | 3M | 88.93 Bn | 70.33 Bn | 2.68 Bn | 31.92 Bn |
| 8 | Illinois Tool Works | 78.81 Bn | 75.37 Bn | 1.90 Bn | 13.60 Bn |
| 9 | Vertiv Holdings | 78.25 Bn | 68.87 Bn | 1.23 Bn | 11.14 Bn |
| 10 | Gpgi | 3.69 Bn | 3.43 Bn | - | 290.10 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 290.10 Mn |
| Mar 31, 2026 | 297.80 Mn |
| Dec 31, 2025 | 274.10 Mn |
| Sep 30, 2025 | 353.01 Mn |
| Jun 30, 2025 | 379.00 Mn |
| Mar 31, 2025 | 379.60 Mn |
| Dec 31, 2024 | 617.42 Mn |
| Sep 30, 2024 | 720.45 Mn |
| Jun 30, 2024 | 938.96 Mn |
| Mar 31, 2024 | 1.01 Bn |
| Dec 31, 2023 | 1.00 Bn |
| Sep 30, 2023 | 1.03 Bn |
| Jun 30, 2023 | 1.05 Bn |
| Mar 31, 2023 | 1.07 Bn |
| Dec 31, 2022 | 1.06 Bn |
| Sep 30, 2022 | 1.09 Bn |
| Jun 30, 2022 | 1.09 Bn |
| Mar 31, 2022 | 1.13 Bn |
| Dec 31, 2021 | 1.15 Bn |
| Sep 30, 2021 | 386.90 Mn |
API Access
Gpgi Total 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-liabilities&ticker=GPGI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=GPGI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();