Proficient Auto Logistics (PAL) Total Non-Current Liabilities (2024 - 2026)
Proficient Auto Logistics' Total Non-Current Liabilities came in at $154.34 million for Q2 2026, down 13.6% from $178.59 million a year earlier.
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Analysis
Proficient Auto Logistics (PAL) Total Non-Current Liabilities (2024 - 2026) Analysis & Trends
At the end of FY2025, Proficient Auto Logistics' Total Non-Current Liabilities was $163.51 million, down 2.6% from FY2024.
- Going back by year, Total Non-Current Liabilities was $167.87 million in FY2024.
- The five-year range for quarterly Total Non-Current Liabilities is $135.88 million (Q2 2024) to $178.59 million (Q2 2025).
- Year-over-year, Total Non-Current Liabilities increased in 1 of the last four quarters, with growth averaging 2.8%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 162.85 Bn | 157.37 Bn | - | 48.79 Bn |
| 2 | Csx | 86.62 Bn | 82.84 Bn | - | 30.11 Bn |
| 3 | Canadian Pacific Kansas City | 76.11 Bn | 75.83 Bn | - | 29.47 Bn |
| 4 | United Parcel Service | 70.66 Bn | 47.58 Bn | - | 52.41 Bn |
| 5 | Norfolk Southern | 70.32 Bn | 64.96 Bn | - | 27.16 Bn |
| 6 | Fedex | 68.53 Bn | 34.48 Bn | - | 62.88 Bn |
| 7 | Delta Air Lines | 55.25 Bn | 37.43 Bn | - | 30.90 Bn |
| 8 | Old Dominion Freight Line | 36.69 Bn | 35.95 Bn | - | 656.79 Mn |
| 9 | Ryanair Holdings | 28.78 Bn | 12.78 Bn | 3.13 Bn | 151.69 Mn |
| 10 | Proficient Auto Logistics | 99.03 Mn | 48.43 Mn | - | 154.34 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 154.34 Mn |
| Dec 31, 2025 | 163.51 Mn |
| Sep 30, 2025 | 153.00 Mn |
| Jun 30, 2025 | 178.59 Mn |
| Mar 31, 2025 | 167.06 Mn |
| Dec 31, 2024 | 167.87 Mn |
| Sep 30, 2024 | 159.35 Mn |
| Jun 30, 2024 | 135.88 Mn |
API Access
Proficient Auto Logistics 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=PAL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "PAL", "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=PAL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();