Proficient Auto Logistics (PAL) Receivables (2023 - 2026)
Proficient Auto Logistics (PAL) posted Receivables of $53.74 million for Q2 2026, up 13.3% from $47.45 million a year earlier.
Analysis
Proficient Auto Logistics (PAL) Receivables (2023 - 2026) Analysis & Trends
At the end of FY2025, Proficient Auto Logistics' Receivables came in at $42.19 million, up 11.5% from FY2024.
- In prior years, Proficient Auto Logistics' Receivables was $37.84 million in FY2024 (+91.1%) and $19.8 million in FY2023.
- The Q2 2026 figure stands as the highest quarterly Receivables in data going back to Q4 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 162.85 Bn | 157.37 Bn | - | 2.13 Bn |
| 2 | Csx | 86.62 Bn | 82.84 Bn | - | 1.46 Bn |
| 3 | Canadian Pacific Kansas City | 76.11 Bn | 75.83 Bn | - | 1.63 Bn |
| 4 | United Parcel Service | 70.66 Bn | 47.58 Bn | - | 10.71 Bn |
| 5 | Norfolk Southern | 70.32 Bn | 64.96 Bn | - | 1.18 Bn |
| 6 | Fedex | 68.53 Bn | 34.48 Bn | - | 12.67 Bn |
| 7 | Delta Air Lines | 55.25 Bn | 37.43 Bn | - | 4.31 Bn |
| 8 | Old Dominion Freight Line | 36.69 Bn | 35.95 Bn | - | 618.02 Mn |
| 9 | Ryanair Holdings | 28.78 Bn | 12.78 Bn | 3.13 Bn | 111.35 Mn |
| 10 | Proficient Auto Logistics | 99.03 Mn | 48.43 Mn | - | 53.74 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 53.74 Mn |
| Dec 31, 2025 | 42.19 Mn |
| Sep 30, 2025 | 46.12 Mn |
| Jun 30, 2025 | 47.45 Mn |
| Mar 31, 2025 | 47.54 Mn |
| Dec 31, 2024 | 37.84 Mn |
| Sep 30, 2024 | 38.67 Mn |
| Jun 30, 2024 | 40.06 Mn |
| Mar 31, 2024 | 35,000.00 |
| Dec 31, 2023 | 19.80 Mn |
API Access
Proficient Auto Logistics Receivables 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=receivables&ticker=PAL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=PAL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();