Pamt (PAMT) Land & Improvements (2010 - 2026)
Pamt (PAMT) posted Land & Improvements of $26.68 million for Q2 2026, down 12.1% from $30.34 million a year earlier but up 1.9% from the prior quarter.
Pamt (PAMT) Land & Improvements (2010 - 2026) Analysis & Trends
At the end of FY2025, Pamt's Land & Improvements came in at $30.06 million, down 1.2% from FY2024.
- Annual Land & Improvements shows a five-year compound annual growth rate of 10.2% (FY2020 to FY2025).
- In prior years, Pamt's Land & Improvements was $30.43 million in FY2024 (+31.8%), $23.08 million in FY2023 (+17.0%), $19.72 million in FY2022 (unchanged) and $19.72 million in FY2021 (+6.7%).
- Quarterly Land & Improvements has run from a low of $19.72 million in Q4 2021 to a high of $36.46 million in Q1 2024 over five years.
- On a year-over-year basis, Land & Improvements has declined in each of the last six quarters, with growth averaging 2.0% over the last eight quarters.
- The strongest year-over-year quarter for Land & Improvements in the past five years was Q1 2024, with growth of 84.9%; the weakest was Q1 2025, with a decline of 16.5%.
- According to Business Quant data, Land & Improvements for the three prior quarters was $26.18 million (Q1 2026), $30.06 million (Q4 2025) and $29.32 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Land & Improvements (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 | - | 3.57 Bn |
| 9 | Ryanair Holdings | 28.71 Bn | 12.72 Bn | 3.13 Bn | - |
| 10 | Pamt | 238.95 Mn | -98.56 Mn | 100.01 Mn | 26.68 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 26.68 Mn |
| Mar 31, 2026 | 26.18 Mn |
| Dec 31, 2025 | 30.06 Mn |
| Sep 30, 2025 | 29.32 Mn |
| Jun 30, 2025 | 30.34 Mn |
| Mar 31, 2025 | 30.45 Mn |
| Dec 31, 2024 | 30.43 Mn |
| Sep 30, 2024 | 30.43 Mn |
| Jun 30, 2024 | 30.43 Mn |
| Mar 31, 2024 | 36.46 Mn |
| Dec 31, 2023 | 23.08 Mn |
| Sep 30, 2023 | 23.08 Mn |
| Jun 30, 2023 | 19.72 Mn |
| Mar 31, 2023 | 19.72 Mn |
| Dec 31, 2022 | 19.72 Mn |
| Sep 30, 2022 | 19.72 Mn |
| Jun 30, 2022 | 19.72 Mn |
| Mar 31, 2022 | 19.72 Mn |
| Dec 31, 2021 | 19.72 Mn |
| Sep 30, 2021 | 19.72 Mn |
Pamt Land & Improvements 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=land-and-improvements&ticker=PAMT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "land-and-improvements", "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=land-and-improvements&ticker=PAMT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();