Proficient Auto Logistics (PAL) Total Liabilities (2023 - 2026)
Proficient Auto Logistics' Total Liabilities came in at $157.32 million for Q2 2026, down 13.1% from $180.93 million a year earlier.
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Analysis
Proficient Auto Logistics (PAL) Total Liabilities (2023 - 2026) Analysis & Trends
At the end of FY2025, Proficient Auto Logistics' Total Liabilities was $166.59 million, down 2.1% from FY2024.
- Going back by year, Total Liabilities was $170.11 million in FY2024 (+382.7%) and $35.24 million in FY2023.
- The five-year range for quarterly Total Liabilities is $5.1 million (Q1 2024) to $180.93 million (Q2 2025).
- Year-over-year, Total Liabilities increased in two of the last five quarters, with growth averaging 79.5%.
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 | Proficient Auto Logistics | 99.03 Mn | 48.43 Mn | - | 157.32 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 157.32 Mn |
| Dec 31, 2025 | 166.59 Mn |
| Sep 30, 2025 | 155.34 Mn |
| Jun 30, 2025 | 180.93 Mn |
| Mar 31, 2025 | 169.30 Mn |
| Dec 31, 2024 | 170.11 Mn |
| Sep 30, 2024 | 159.76 Mn |
| Jun 30, 2024 | 136.25 Mn |
| Mar 31, 2024 | 5.10 Mn |
| Dec 31, 2023 | 35.24 Mn |
API Access
Proficient Auto Logistics 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=PAL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=PAL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();