Proficient Auto Logistics (PAL) Amortization - Intangibles (2024 - 2026)
Proficient Auto Logistics (PAL) reported Amortization - Intangibles of $2.41 million for Q2 2026, down 1.6% from $2.45 million a year earlier.
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Analysis
Proficient Auto Logistics (PAL) Amortization - Intangibles (2024 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Proficient Auto Logistics' Amortization - Intangibles came in at $9.78 million, up 2.9% year-over-year; for FY2025, it came in at $9.78 million, up 71.3% from FY2024.
- By year, Amortization - Intangibles came in at $5.71 million in FY2024.
- The Q2 2026 figure ranks as the lowest quarterly Amortization - Intangibles since Q3 2024.
- Year over year, Amortization - Intangibles gained in three of the last four quarters, with growth averaging 34.7%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Union Pacific | 172.47 Bn | 164.72 Bn | - |
| 2 | United Parcel Service | 92.24 Bn | 69.07 Bn | - |
| 3 | Csx | 90.81 Bn | 86.03 Bn | - |
| 4 | Canadian Pacific Kansas City | 81.61 Bn | 80.64 Bn | - |
| 5 | Fedex | 72.98 Bn | 39.17 Bn | - |
| 6 | Norfolk Southern | 71.87 Bn | 66.34 Bn | - |
| 7 | Delta Air Lines | 57.23 Bn | 39.41 Bn | - |
| 8 | United Airlines Holdings | 36.65 Bn | -21.05 Bn | - |
| 9 | Old Dominion Freight Line | 34.12 Bn | 32.96 Bn | - |
| 10 | Proficient Auto Logistics | 83.78 Mn | 37.07 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.41 Mn |
| Dec 31, 2025 | 2.45 Mn |
| Sep 30, 2025 | 2.45 Mn |
| Jun 30, 2025 | 2.45 Mn |
| Mar 31, 2025 | 2.42 Mn |
| Dec 31, 2024 | 2.42 Mn |
| Sep 30, 2024 | 2.22 Mn |
| Jun 30, 2024 | 1.08 Mn |
API Access
Proficient Auto Logistics Amortization - Intangibles 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=amortization-intangibles&ticker=PAL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortization-intangibles", "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=amortization-intangibles&ticker=PAL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();