Pamt (PAMT) Total Non-Current Liabilities (2014 - 2026)
Pamt's Total Non-Current Liabilities was $461.58 million in Q2 2026, down 0.2% from $462.38 million a year earlier and down 0.7% from the prior quarter.
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Analysis
Pamt (PAMT) Total Non-Current Liabilities (2014 - 2026) Analysis & Trends
At the end of FY2025, Total Non-Current Liabilities at Pamt came in at $481.39 million, up 3.8% from FY2024.
- Total Non-Current Liabilities shows a five-year compound annual growth rate of 2.4% (FY2020 to FY2025).
- In earlier years, Total Non-Current Liabilities was $463.9 million in FY2024 (+4.1%), $445.49 million in FY2023 (-0.8%), $448.88 million in FY2022 (+21.0%) and $370.85 million in FY2021 (-13.3%).
- The Q2 2026 figure marks the lowest quarterly Total Non-Current Liabilities since Q1 2025.
- Compared with a year earlier, Total Non-Current Liabilities was higher in seven of the last eight quarters, with growth averaging 4.7%.
- The best year-over-year quarter for Total Non-Current Liabilities over five years was Q4 2022 (growth of 21.0%); the worst was Q4 2021 (a decline of 13.3%).
- Per Business Quant data, PAMT's Total Non-Current Liabilities in the three quarters before Q2 2026 was $464.74 million (Q1 2026), $481.39 million (Q4 2025) and $475.24 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 161.62 Bn | 156.15 Bn | - | 48.79 Bn |
| 2 | Csx | 86.16 Bn | 82.37 Bn | - | 30.11 Bn |
| 3 | Canadian Pacific Kansas City | 74.78 Bn | 74.50 Bn | - | 29.47 Bn |
| 4 | United Parcel Service | 70.01 Bn | 46.94 Bn | - | 52.41 Bn |
| 5 | Norfolk Southern | 69.45 Bn | 64.09 Bn | - | 27.16 Bn |
| 6 | Fedex | 67.46 Bn | 33.40 Bn | - | 62.88 Bn |
| 7 | Delta Air Lines | 54.88 Bn | 37.06 Bn | - | 30.90 Bn |
| 8 | Old Dominion Freight Line | 36.07 Bn | 35.33 Bn | - | 656.79 Mn |
| 9 | Ryanair Holdings | 28.71 Bn | 12.72 Bn | 3.13 Bn | 151.69 Mn |
| 10 | Pamt | 238.95 Mn | -98.56 Mn | 100.01 Mn | 461.58 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 461.58 Mn |
| Mar 31, 2026 | 464.74 Mn |
| Dec 31, 2025 | 481.39 Mn |
| Sep 30, 2025 | 475.24 Mn |
| Jun 30, 2025 | 462.38 Mn |
| Mar 31, 2025 | 443.05 Mn |
| Dec 31, 2024 | 463.90 Mn |
| Sep 30, 2024 | 447.58 Mn |
| Jun 30, 2024 | 426.35 Mn |
| Mar 31, 2024 | 431.28 Mn |
| Dec 31, 2023 | 445.49 Mn |
| Sep 30, 2023 | 414.69 Mn |
| Jun 30, 2023 | 394.53 Mn |
| Mar 31, 2023 | 441.71 Mn |
| Dec 31, 2022 | 448.88 Mn |
| Sep 30, 2022 | 436.17 Mn |
| Jun 30, 2022 | 421.28 Mn |
| Mar 31, 2022 | 426.15 Mn |
| Dec 31, 2021 | 370.85 Mn |
| Sep 30, 2021 | 381.62 Mn |
API Access
Pamt 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=PAMT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=PAMT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();