Proficient Auto Logistics (PAL) Other Accumulated Expenses (2023 - 2026)
Proficient Auto Logistics (PAL) reported Other Accumulated Expenses of $9.4 million for Q2 2026, up 161.5% from $3.6 million a year earlier.
Proficient Auto Logistics (PAL) Other Accumulated Expenses (2023 - 2026) Analysis & Trends
At the end of FY2025, Proficient Auto Logistics posted Other Accumulated Expenses of $10.76 million, up 88.0% from FY2024.
- By year, Other Accumulated Expenses came in at $5.72 million in FY2024 (+159.0%) and $2.21 million in FY2023.
- Five-year quarterly Other Accumulated Expenses spans a low of $2.21 million in Q4 2023 and a high of $10.76 million in Q4 2025.
- Year over year, Other Accumulated Expenses gained in three of the last five quarters, with growth averaging 57.8%.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Union Pacific | 165.28 Bn | 159.81 Bn | - |
| 2 | Csx | 87.86 Bn | 84.08 Bn | - |
| 3 | Canadian Pacific Kansas City | 75.56 Bn | 75.27 Bn | - |
| 4 | Norfolk Southern | 71.27 Bn | 65.91 Bn | - |
| 5 | United Parcel Service | 69.70 Bn | 46.62 Bn | - |
| 6 | Fedex | 68.71 Bn | 34.65 Bn | - |
| 7 | Delta Air Lines | 55.32 Bn | 37.50 Bn | - |
| 8 | Old Dominion Freight Line | 37.44 Bn | 36.71 Bn | - |
| 9 | United Airlines Holdings | 36.52 Bn | -19.85 Bn | - |
| 10 | Proficient Auto Logistics | 99.87 Mn | 49.27 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 9.40 Mn |
| Dec 31, 2025 | 10.76 Mn |
| Sep 30, 2025 | 3.81 Mn |
| Jun 30, 2025 | 3.60 Mn |
| Mar 31, 2025 | 4.62 Mn |
| Dec 31, 2024 | 5.72 Mn |
| Sep 30, 2024 | 9.25 Mn |
| Jun 30, 2024 | 9.21 Mn |
| Dec 31, 2023 | 2.21 Mn |
Proficient Auto Logistics Other Accumulated Expenses 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=other-accumulated-expenses&ticker=PAL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "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=other-accumulated-expenses&ticker=PAL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();