Proficient Auto Logistics (PAL) Non Operating Interest Expenses (2023 - 2026)
Proficient Auto Logistics' Non Operating Interest Expenses was $1.43 million in Q2 2026, down 22.1% from $1.84 million a year earlier.
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Analysis
Proficient Auto Logistics (PAL) Non Operating Interest Expenses (2023 - 2026) Analysis & Trends
On a trailing twelve-month basis, Proficient Auto Logistics' Non Operating Interest Expenses was -$10.09 million through Jun 30, 2026; for FY2025, it was -$6.59 million.
- In earlier years, Non Operating Interest Expenses was -$4.01 million in FY2024, -$953,667 in FY2023 and -$1.16 million in FY2022.
- Quarterly Non Operating Interest Expenses has moved between -$11.68 million (Q4 2025) and $1.84 million (Q2 2025) over five years.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 161.62 Bn | 156.15 Bn | - | 313.00 Mn |
| 2 | Csx | 86.16 Bn | 82.37 Bn | - | 211.00 Mn |
| 3 | Canadian Pacific Kansas City | 74.78 Bn | 74.50 Bn | - | - |
| 4 | United Parcel Service | 70.01 Bn | 46.94 Bn | - | 272.00 Mn |
| 5 | Norfolk Southern | 69.45 Bn | 64.09 Bn | - | 197.00 Mn |
| 6 | Fedex | 67.46 Bn | 33.40 Bn | - | - |
| 7 | Delta Air Lines | 54.88 Bn | 37.06 Bn | - | - |
| 8 | Old Dominion Freight Line | 36.07 Bn | 35.33 Bn | - | 76,000.00 |
| 9 | Ryanair Holdings | 28.71 Bn | 12.72 Bn | 3.13 Bn | -17.32 Mn |
| 10 | Proficient Auto Logistics | 97.90 Mn | 47.31 Mn | - | 1.43 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.43 Mn |
| Dec 31, 2025 | -11.68 Mn |
| Sep 30, 2025 | -1.68 Mn |
| Jun 30, 2025 | 1.84 Mn |
| Mar 31, 2025 | -1.57 Mn |
| Dec 31, 2024 | -6.05 Mn |
| Sep 30, 2024 | 1.41 Mn |
| Jun 30, 2024 | -639,795.00 |
| Mar 31, 2024 | -452,390.00 |
| Dec 31, 2023 | 158,125.00 |
| Sep 30, 2023 | 226,650.00 |
| Jun 30, 2023 | 306,948.00 |
API Access
Proficient Auto Logistics Non Operating Interest 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=non-operating-interest-expenses&ticker=PAL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-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=non-operating-interest-expenses&ticker=PAL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();