Pamt (PAMT) Shares Outstanding (Diluted) (2010 - 2026)
Pamt (PAMT) recorded Shares Outstanding (Diluted) of 20.94 million in Q2 2026, down 0.7% from 21.1 million a year earlier and unchanged from the prior quarter.
Pamt (PAMT) Shares Outstanding (Diluted) (2010 - 2026) Analysis & Trends
For FY2025, Pamt reported Shares Outstanding (Diluted) of 21.21 million, down 3.1% from FY2024.
- Annual Shares Outstanding (Diluted) has declined for 15 straight years, with a five-year compound annual growth rate of -1.7% (FY2020 to FY2025).
- Across earlier years, Shares Outstanding (Diluted) came in at 21.88 million in FY2024 (-1.4%), 22.2 million in FY2023 (-1.1%), 22.44 million in FY2022 (-1.9%) and 22.86 million in FY2021 (-0.9%).
- Quarterly Shares Outstanding (Diluted) has ranged from 20.93 million in Q3 2025 to 22.86 million in Q4 2021 over the past five years.
- On a year-over-year basis, Shares Outstanding (Diluted) has declined for 21 consecutive quarters, with an average decline of 2.5% over the last eight quarters.
- The year-over-year decline in Shares Outstanding (Diluted) has ranged between 0.7% (Q2 2026) and 4.1% (Q3 2025) over the last five years.
- Per Business Quant, the preceding three quarters came in at 20.94 million (Q1 2026), 21.21 million (Q4 2025) and 20.93 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 161.79 Bn | 156.31 Bn | - | 594.00 Mn |
| 2 | Csx | 86.21 Bn | 82.43 Bn | - | 1.86 Bn |
| 3 | Canadian Pacific Kansas City | 74.26 Bn | 73.97 Bn | - | 887.10 Mn |
| 4 | United Parcel Service | 70.36 Bn | 47.28 Bn | - | 851.00 Mn |
| 5 | Norfolk Southern | 69.74 Bn | 64.38 Bn | - | 225.00 Mn |
| 6 | Fedex | 67.91 Bn | 33.85 Bn | - | 239.00 Mn |
| 7 | Delta Air Lines | 55.33 Bn | 37.51 Bn | - | 658.00 Mn |
| 8 | Old Dominion Freight Line | 36.95 Bn | 36.21 Bn | - | 208.72 Mn |
| 9 | United Airlines Holdings | 36.28 Bn | -20.09 Bn | - | 326.60 Mn |
| 10 | Pamt | 248.58 Mn | -88.92 Mn | 100.01 Mn | 20.94 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 20.94 Mn |
| Mar 31, 2026 | 20.94 Mn |
| Dec 31, 2025 | 21.21 Mn |
| Sep 30, 2025 | 20.93 Mn |
| Jun 30, 2025 | 21.10 Mn |
| Mar 31, 2025 | 21.79 Mn |
| Dec 31, 2024 | 21.88 Mn |
| Sep 30, 2024 | 21.83 Mn |
| Jun 30, 2024 | 21.93 Mn |
| Mar 31, 2024 | 22.13 Mn |
| Dec 31, 2023 | 22.20 Mn |
| Sep 30, 2023 | 22.14 Mn |
| Jun 30, 2023 | 22.18 Mn |
| Mar 31, 2023 | 22.32 Mn |
| Dec 31, 2022 | 22.44 Mn |
| Sep 30, 2022 | 22.44 Mn |
| Jun 30, 2022 | 22.45 Mn |
| Mar 31, 2022 | 22.48 Mn |
| Dec 31, 2021 | 22.86 Mn |
| Sep 30, 2021 | 22.86 Mn |
Pamt Shares Outstanding (Diluted) 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=shares-outstanding-diluted&ticker=PAMT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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=shares-outstanding-diluted&ticker=PAMT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();