Pamt (PAMT) Cost of Revenue (2015 - 2026)
Pamt (PAMT) recorded Cost of Revenue of $64.65 million in Q2 2026, down 0.3% from $64.87 million a year earlier but up 14.2% from the prior quarter.
Pamt (PAMT) Cost of Revenue (2015 - 2026) Analysis & Trends
On a TTM basis, Pamt's Cost of Revenue came in at $240.99 million as of Jun 30, 2026, down 10.5% year-over-year; for FY2025, it came in at $247.58 million, down 14.4% from FY2024.
- Annual Cost of Revenue has declined for three straight years, though with a five-year compound annual growth rate of 8.3% (FY2020 to FY2025).
- Across earlier years, Cost of Revenue came in at $289.39 million in FY2024 (-8.3%), $315.65 million in FY2023 (-13.5%), $364.97 million in FY2022 (+30.8%) and $279.02 million in FY2021 (+68.1%).
- Quarterly Cost of Revenue has ranged from $56.6 million in Q1 2026 to $93.5 million in Q3 2022 over the past five years.
- On a year-over-year basis, Cost of Revenue has declined for 14 consecutive quarters, with an average decline of 10.0% over the last eight quarters.
- Peak year-over-year performance for Cost of Revenue in the last five years was growth of 75.6% in Q3 2021, against a decline of 21.7% in Q4 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $56.6 million (Q1 2026), $58.23 million (Q4 2025) and $61.51 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 165.28 Bn | 159.81 Bn | - | - |
| 2 | Csx | 87.86 Bn | 84.08 Bn | - | - |
| 3 | Canadian Pacific Kansas City | 75.56 Bn | 75.27 Bn | - | - |
| 4 | Norfolk Southern | 71.27 Bn | 65.91 Bn | - | - |
| 5 | United Parcel Service | 69.70 Bn | 46.62 Bn | - | - |
| 6 | Fedex | 68.71 Bn | 34.65 Bn | - | - |
| 7 | Delta Air Lines | 55.32 Bn | 37.50 Bn | - | - |
| 8 | Old Dominion Freight Line | 37.44 Bn | 36.71 Bn | - | - |
| 9 | United Airlines Holdings | 36.52 Bn | -19.85 Bn | - | - |
| 10 | Pamt | 256.33 Mn | -81.17 Mn | 100.01 Mn | 64.65 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 64.65 Mn |
| Mar 31, 2026 | 56.60 Mn |
| Dec 31, 2025 | 58.23 Mn |
| Sep 30, 2025 | 61.51 Mn |
| Jun 30, 2025 | 64.87 Mn |
| Mar 31, 2025 | 62.97 Mn |
| Dec 31, 2024 | 68.18 Mn |
| Sep 30, 2024 | 73.13 Mn |
| Jun 30, 2024 | 74.80 Mn |
| Mar 31, 2024 | 73.28 Mn |
| Dec 31, 2023 | 71.63 Mn |
| Sep 30, 2023 | 78.60 Mn |
| Jun 30, 2023 | 78.33 Mn |
| Mar 31, 2023 | 87.10 Mn |
| Dec 31, 2022 | 91.45 Mn |
| Sep 30, 2022 | 93.50 Mn |
| Jun 30, 2022 | 88.64 Mn |
| Mar 31, 2022 | 91.38 Mn |
| Dec 31, 2021 | 86.63 Mn |
| Sep 30, 2021 | 72.70 Mn |
Pamt Cost of Revenue 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=cost-of-revenue&ticker=PAMT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=PAMT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();