Pamt (PAMT) Operating Expenses (2011 - 2026)
Pamt (PAMT) recorded Operating Expenses of $175.06 million in Q2 2026, up 7.9% from $162.2 million a year earlier and up 23.2% from the prior quarter.
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Analysis
Pamt (PAMT) Operating Expenses (2011 - 2026) Analysis & Trends
On a TTM basis, Pamt's Operating Expenses came in at $652.59 million as of Jun 30, 2026, down 8.2% year-over-year; for FY2025, it was $662.12 million, down 11.9% from FY2024.
- Annual Operating Expenses has declined for three straight years, though with a five-year compound annual growth rate of 7.9% (FY2020 to FY2025).
- Across earlier years, Operating Expenses came in at $751.41 million in FY2024 (-3.7%), $780.5 million in FY2023 (-5.2%), $823.09 million in FY2022 (+35.6%) and $606.92 million in FY2021 (+34.0%).
- Quarterly Operating Expenses has ranged from $142.15 million in Q1 2026 to $217.37 million in Q4 2022 over the past five years.
- On a year-over-year basis, Operating Expenses rose in two of the last eight quarters, with an average decline of 5.9%.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 43.0% in Q2 2022, against a decline of 16.7% in Q4 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $142.15 million (Q1 2026), $179.41 million (Q4 2025) and $155.98 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 162.83 Bn | 157.35 Bn | - | 4.10 Bn |
| 2 | Csx | 86.94 Bn | 83.15 Bn | - | 2.43 Bn |
| 3 | Canadian Pacific Kansas City | 76.07 Bn | 75.78 Bn | - | 1.95 Bn |
| 4 | United Parcel Service | 70.39 Bn | 47.31 Bn | - | 21.90 Bn |
| 5 | Norfolk Southern | 70.35 Bn | 64.99 Bn | - | 2.34 Bn |
| 6 | Fedex | 68.01 Bn | 33.95 Bn | - | 23.46 Bn |
| 7 | Delta Air Lines | 55.83 Bn | 38.01 Bn | - | 17.89 Bn |
| 8 | Old Dominion Freight Line | 36.82 Bn | 36.08 Bn | - | 1.09 Bn |
| 9 | Ryanair Holdings | 28.96 Bn | 12.97 Bn | 3.13 Bn | 4.43 Bn |
| 10 | Pamt | 251.73 Mn | -85.78 Mn | 100.01 Mn | 175.06 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 175.06 Mn |
| Mar 31, 2026 | 142.15 Mn |
| Dec 31, 2025 | 179.41 Mn |
| Sep 30, 2025 | 155.98 Mn |
| Jun 30, 2025 | 162.20 Mn |
| Mar 31, 2025 | 164.53 Mn |
| Dec 31, 2024 | 204.22 Mn |
| Sep 30, 2024 | 180.27 Mn |
| Jun 30, 2024 | 183.65 Mn |
| Mar 31, 2024 | 183.27 Mn |
| Dec 31, 2023 | 180.98 Mn |
| Sep 30, 2023 | 192.67 Mn |
| Jun 30, 2023 | 193.62 Mn |
| Mar 31, 2023 | 213.23 Mn |
| Dec 31, 2022 | 217.37 Mn |
| Sep 30, 2022 | 217.14 Mn |
| Jun 30, 2022 | 200.49 Mn |
| Mar 31, 2022 | 188.10 Mn |
| Dec 31, 2021 | 179.21 Mn |
| Sep 30, 2021 | 152.26 Mn |
API Access
Pamt 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=operating-expenses&ticker=PAMT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=operating-expenses&ticker=PAMT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();