Pamt (PAMT) Total Liabilities (2010 - 2026)
Pamt (PAMT) reported Total Liabilities of $467.24 million for Q2 2026, up 0.9% from $462.95 million a year earlier but down 0.7% from the prior quarter.
Powered by 
Analysis
Pamt (PAMT) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Pamt posted Total Liabilities of $487.43 million, up 5.0% from FY2024.
- Total Liabilities has a five-year compound annual growth rate of 2.6% (FY2020 to FY2025).
- By year, Total Liabilities came in at $464.15 million in FY2024 (+4.0%), $446.24 million in FY2023 (-0.6%), $448.98 million in FY2022 (+20.9%) and $371.27 million in FY2021 (-13.4%).
- Five-year quarterly Total Liabilities spans a low of $371.27 million in Q4 2021 and a high of $487.43 million in Q4 2025.
- Year over year, Total Liabilities has now increased in each of the last nine quarters, with growth averaging 5.2% over the last eight quarters.
- The high point for year-over-year Total Liabilities in five years was Q4 2022 (growth of 20.9%); the low point was Q4 2021 (a decline of 13.4%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $470.6 million (Q1 2026), $487.43 million (Q4 2025) and $475.74 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 162.85 Bn | 157.37 Bn | - | 50.54 Bn |
| 2 | Csx | 86.62 Bn | 82.84 Bn | - | 30.64 Bn |
| 3 | Canadian Pacific Kansas City | 76.11 Bn | 75.83 Bn | - | 30.13 Bn |
| 4 | United Parcel Service | 70.66 Bn | 47.58 Bn | - | 56.17 Bn |
| 5 | Norfolk Southern | 70.32 Bn | 64.96 Bn | - | 28.87 Bn |
| 6 | Fedex | 68.53 Bn | 34.48 Bn | - | 67.29 Bn |
| 7 | Delta Air Lines | 55.25 Bn | 37.43 Bn | - | 64.51 Bn |
| 8 | Old Dominion Freight Line | 36.69 Bn | 35.95 Bn | - | 1.19 Bn |
| 9 | Ryanair Holdings | 28.78 Bn | 12.78 Bn | 3.13 Bn | 10.09 Bn |
| 10 | Pamt | 253.61 Mn | -83.90 Mn | 100.01 Mn | 467.24 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 467.24 Mn |
| Mar 31, 2026 | 470.60 Mn |
| Dec 31, 2025 | 487.43 Mn |
| Sep 30, 2025 | 475.74 Mn |
| Jun 30, 2025 | 462.95 Mn |
| Mar 31, 2025 | 443.05 Mn |
| Dec 31, 2024 | 464.15 Mn |
| Sep 30, 2024 | 447.83 Mn |
| Jun 30, 2024 | 426.85 Mn |
| Mar 31, 2024 | 431.78 Mn |
| Dec 31, 2023 | 446.24 Mn |
| Sep 30, 2023 | 415.44 Mn |
| Jun 30, 2023 | 394.53 Mn |
| Mar 31, 2023 | 441.74 Mn |
| Dec 31, 2022 | 448.98 Mn |
| Sep 30, 2022 | 436.35 Mn |
| Jun 30, 2022 | 421.55 Mn |
| Mar 31, 2022 | 426.49 Mn |
| Dec 31, 2021 | 371.27 Mn |
| Sep 30, 2021 | 382.12 Mn |
API Access
Pamt 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=PAMT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "PAMT", "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=PAMT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();