Pamt (PAMT) Accumulated Expenses (2010 - 2026)
Pamt (PAMT) posted Accumulated Expenses of $30.6 million for Q2 2026, up 84.2% from $16.61 million a year earlier but down 27.9% from the prior quarter.
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Analysis
Pamt (PAMT) Accumulated Expenses (2010 - 2026) Analysis & Trends
At the end of FY2025, Pamt's Accumulated Expenses came in at $41.08 million, up 182.0% from FY2024.
- Annual Accumulated Expenses shows a five-year compound annual growth rate of 9.1% (FY2020 to FY2025).
- In prior years, Pamt's Accumulated Expenses was $14.57 million in FY2024 (-13.3%), $16.8 million in FY2023 (-50.9%), $34.23 million in FY2022 (+142.5%) and $14.11 million in FY2021 (-46.9%).
- Quarterly Accumulated Expenses has run from a low of $14.11 million in Q4 2021 to a high of $43.34 million in Q1 2023 over five years.
- On a year-over-year basis, Accumulated Expenses has increased in each of the last three quarters, with growth averaging 49.2% over the last eight quarters.
- The strongest year-over-year quarter for Accumulated Expenses in the past five years was Q4 2025, with growth of 182.0%; the weakest was Q1 2024, with a decline of 61.5%.
- According to Business Quant data, Accumulated Expenses for the three prior quarters was $42.42 million (Q1 2026), $41.08 million (Q4 2025) and $15.72 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Union Pacific | 161.79 Bn | 156.31 Bn | - |
| 2 | Csx | 86.21 Bn | 82.43 Bn | - |
| 3 | Canadian Pacific Kansas City | 74.26 Bn | 73.97 Bn | - |
| 4 | United Parcel Service | 70.36 Bn | 47.28 Bn | - |
| 5 | Norfolk Southern | 69.74 Bn | 64.38 Bn | - |
| 6 | Fedex | 67.91 Bn | 33.85 Bn | - |
| 7 | Delta Air Lines | 55.33 Bn | 37.51 Bn | - |
| 8 | Old Dominion Freight Line | 36.95 Bn | 36.21 Bn | - |
| 9 | United Airlines Holdings | 36.28 Bn | -20.09 Bn | - |
| 10 | Pamt | 248.58 Mn | -88.92 Mn | 100.01 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 30.60 Mn |
| Mar 31, 2026 | 42.42 Mn |
| Dec 31, 2025 | 41.08 Mn |
| Sep 30, 2025 | 15.72 Mn |
| Jun 30, 2025 | 16.61 Mn |
| Mar 31, 2025 | 15.07 Mn |
| Dec 31, 2024 | 14.57 Mn |
| Sep 30, 2024 | 16.78 Mn |
| Jun 30, 2024 | 16.80 Mn |
| Mar 31, 2024 | 16.70 Mn |
| Dec 31, 2023 | 16.80 Mn |
| Sep 30, 2023 | 22.05 Mn |
| Jun 30, 2023 | 20.78 Mn |
| Mar 31, 2023 | 43.34 Mn |
| Dec 31, 2022 | 34.23 Mn |
| Sep 30, 2022 | 24.76 Mn |
| Jun 30, 2022 | 23.76 Mn |
| Mar 31, 2022 | 19.71 Mn |
| Dec 31, 2021 | 14.11 Mn |
| Sep 30, 2021 | 25.94 Mn |
API Access
Pamt Accumulated 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=accumulated-expenses&ticker=PAMT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=PAMT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();