Panamera Holdings (PHCI) Shares Outstanding (2014 - 2026)
Panamera Holdings (PHCI) posted Weighted Average Shares Outstanding of 44.91 million for fiscal Q3 2026 (quarter ended Apr 30, 2026), unchanged from 44.91 million a year earlier and unchanged from the prior quarter.
Panamera Holdings (PHCI) Shares Outstanding (2014 - 2026) Analysis & Trends
Since fiscal Q4 2014, Panamera Holdings has reported Weighted Average Shares Outstanding for 48 quarters.
- Annual Weighted Average Shares Outstanding shows a five-year compound annual growth rate of 20.1% (FY2020 to FY2025).
- In prior fiscal years, Panamera Holdings' Weighted Average Shares Outstanding was 44.91 million in FY2024 (+26.4%), 35.54 million in FY2023 (-9.4%), 39.21 million in FY2022 (+66.3%) and 23.57 million in FY2021 (+31.0%).
- On a year-over-year basis, Weighted Average Shares Outstanding increased in three of the last eight quarters, with growth averaging 10.0%.
- The strongest year-over-year quarter for Weighted Average Shares Outstanding in the past five years was fiscal Q3 2022, with growth of 118.0%; the weakest was fiscal Q3 2023, with a decline of 15.3%.
- According to Business Quant data, Weighted Average Shares Outstanding for the three prior fiscal quarters was 44.91 million (Q2 2026), 44.91 million (Q1 2026) and 44.91 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 172.92 Bn | 132.01 Bn | 5.98 Bn | 612.48 Mn |
| 2 | Cintas | 90.00 Bn | 89.09 Bn | 1.55 Bn | 400.14 Mn |
| 3 | Iron Mountain | 32.99 Bn | 32.50 Bn | 1.06 Bn | 297.99 Mn |
| 4 | Rollins | 18.37 Bn | 17.91 Bn | 582.90 Mn | 478.97 Mn |
| 5 | APi | 18.18 Bn | 15.39 Bn | 770.00 Mn | 431.00 Mn |
| 6 | UL Solutions | 16.47 Bn | 14.51 Bn | 423.00 Mn | 202.00 Mn |
| 7 | Aramark | 14.29 Bn | 12.30 Bn | 430.34 Mn | 263.59 Mn |
| 8 | Rentokil Initial | 11.99 Bn | 5.51 Bn | - | 504.80 Mn |
| 9 | Gartner | 11.92 Bn | 5.41 Bn | 1.07 Bn | 63.75 Mn |
| 10 | Panamera Holdings | 68.12 Mn | 67.96 Mn | - | 44.91 Mn |
Historic Data
| Date | Value |
|---|---|
| Apr 30, 2026 | 44.91 Mn |
| Jan 31, 2026 | 44.91 Mn |
| Oct 31, 2025 | 44.91 Mn |
| Jul 31, 2025 | 44.91 Mn |
| Apr 30, 2025 | 44.91 Mn |
| Jan 31, 2025 | 44.91 Mn |
| Oct 31, 2024 | 44.91 Mn |
| Jul 31, 2024 | 44.91 Mn |
| Apr 30, 2024 | 44.91 Mn |
| Jan 31, 2024 | 35.41 Mn |
| Oct 31, 2023 | 35.41 Mn |
| Jul 31, 2023 | 35.54 Mn |
| Apr 30, 2023 | 33.21 Mn |
| Jan 31, 2023 | 35.49 Mn |
| Oct 31, 2022 | 39.21 Mn |
| Jul 31, 2022 | 39.21 Mn |
| Apr 30, 2022 | 39.21 Mn |
| Jan 31, 2022 | 39.21 Mn |
| Oct 31, 2021 | 39.21 Mn |
| Jul 31, 2021 | 23.57 Mn |
Panamera Holdings Shares Outstanding 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&ticker=PHCI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "ticker": "PHCI", "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&ticker=PHCI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();