Pamt (PAMT) Other Operating Expenses (2011 - 2026)
Pamt's Other Operating Expenses was $155.72 million in Q2 2026, up 10.8% from $140.48 million a year earlier and up 26.7% from the prior quarter.
Powered by 
Analysis
Pamt (PAMT) Other Operating Expenses (2011 - 2026) Analysis & Trends
On a trailing twelve-month basis, Pamt's Other Operating Expenses was $575.03 million through Jun 30, 2026, down 5.0% year-over-year; for FY2025, it was $578.82 million, down 11.2% from FY2024.
- Other Operating Expenses has now declined for three consecutive years, though with a five-year compound annual growth rate of 7.8% (FY2020 to FY2025).
- In earlier years, Other Operating Expenses was $652.15 million in FY2024 (-8.9%), $715.89 million in FY2023 (-5.8%), $760.29 million in FY2022 (+37.8%) and $551.9 million in FY2021 (+39.1%).
- Quarterly Other Operating Expenses has moved between $122.91 million (Q1 2026) and $201.21 million (Q4 2022) over five years.
- Compared with a year earlier, Other Operating Expenses was higher in 1 of the last eight quarters, with an average decline of 7.2%.
- The best year-over-year quarter for Other Operating Expenses over five years was Q4 2021 (growth of 47.7%); the worst was Q4 2023 (a decline of 18.4%).
- Per Business Quant data, PAMT's Other Operating Expenses in the three quarters before Q2 2026 was $122.91 million (Q1 2026), $160.23 million (Q4 2025) and $136.17 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Union Pacific | 161.62 Bn | 156.15 Bn | - |
| 2 | Csx | 86.16 Bn | 82.37 Bn | - |
| 3 | Canadian Pacific Kansas City | 74.78 Bn | 74.50 Bn | - |
| 4 | United Parcel Service | 70.01 Bn | 46.94 Bn | - |
| 5 | Norfolk Southern | 69.45 Bn | 64.09 Bn | - |
| 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 | - |
| 9 | Ryanair Holdings | 28.71 Bn | 12.72 Bn | 3.13 Bn |
| 10 | Pamt | 238.95 Mn | -98.56 Mn | 100.01 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 155.72 Mn |
| Mar 31, 2026 | 122.91 Mn |
| Dec 31, 2025 | 160.23 Mn |
| Sep 30, 2025 | 136.17 Mn |
| Jun 30, 2025 | 140.48 Mn |
| Mar 31, 2025 | 141.94 Mn |
| Dec 31, 2024 | 160.34 Mn |
| Sep 30, 2024 | 162.53 Mn |
| Jun 30, 2024 | 164.95 Mn |
| Mar 31, 2024 | 164.33 Mn |
| Dec 31, 2023 | 164.18 Mn |
| Sep 30, 2023 | 177.12 Mn |
| Jun 30, 2023 | 177.87 Mn |
| Mar 31, 2023 | 196.73 Mn |
| Dec 31, 2022 | 201.21 Mn |
| Sep 30, 2022 | 200.85 Mn |
| Jun 30, 2022 | 185.00 Mn |
| Mar 31, 2022 | 173.23 Mn |
| Dec 31, 2021 | 165.62 Mn |
| Sep 30, 2021 | 139.52 Mn |
API Access
Pamt Other Operating 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-operating-expenses&ticker=PAMT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "ticker": "PAMT", "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-operating-expenses&ticker=PAMT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();