PureCycle Technologies (PCT) Shares Outstanding (Diluted) (2020 - 2026)
PureCycle Technologies (PCT) recorded Shares Outstanding (Diluted) of 184.24 million in Q2 2026, up 2.5% from 179.67 million a year earlier and up 2.1% from the prior quarter.
PureCycle Technologies (PCT) Shares Outstanding (Diluted) (2020 - 2026) Analysis & Trends
For FY2025, PureCycle Technologies reported Shares Outstanding (Diluted) of 180.45 million, up 9.1% from FY2024.
- Annual Shares Outstanding (Diluted) has increased for five straight years, with a five-year compound annual growth rate of 44.4% (FY2020 to FY2025).
- Across earlier years, Shares Outstanding (Diluted) came in at 165.38 million in FY2024 (+0.8%), 164.01 million in FY2023 (+5.2%), 155.96 million in FY2022 (+51.5%) and 102.91 million in FY2021 (+258.2%).
- Quarterly Shares Outstanding (Diluted) has ranged from 102.91 million in Q4 2021 to 184.55 million in Q3 2025 over the past five years.
- On a year-over-year basis, Shares Outstanding (Diluted) has increased for 22 consecutive quarters, with growth averaging 5.3% over the last eight quarters.
- Over the past five years, the year-over-year growth in Shares Outstanding (Diluted) ranged from 0.3% (Q2 2023) to 335.5% (Q3 2021).
- Per Business Quant, the preceding three quarters came in at 180.48 million (Q1 2026), 180.45 million (Q4 2025) and 184.55 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 218.80 Bn | 201.92 Bn | 4.43 Bn | 464.52 Mn |
| 2 | Corning | 132.43 Bn | 125.56 Bn | 1.63 Bn | 875.00 Mn |
| 3 | Sherwin Williams | 78.49 Bn | 77.53 Bn | 3.34 Bn | 246.00 Mn |
| 4 | Air Products & Chemicals | 61.97 Bn | 59.87 Bn | 1.04 Bn | 222.80 Mn |
| 5 | Corteva | 51.82 Bn | 40.62 Bn | 3.66 Bn | 669.80 Mn |
| 6 | LyondellBasell Industries | 37.12 Bn | 26.74 Bn | 2.04 Bn | 646.00 Mn |
| 7 | Nutrien | 33.86 Bn | 30.73 Bn | 3.25 Bn | 486.52 Mn |
| 8 | Qnity Electronics | 26.31 Bn | 23.73 Bn | 666.00 Mn | 210.20 Mn |
| 9 | Ati | 25.78 Bn | 23.93 Bn | 309.80 Mn | 138.30 Mn |
| 10 | PureCycle Technologies | 885.99 Mn | 885.99 Mn | - | 184.24 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 184.24 Mn |
| Mar 31, 2026 | 180.48 Mn |
| Dec 31, 2025 | 180.45 Mn |
| Sep 30, 2025 | 184.55 Mn |
| Jun 30, 2025 | 179.67 Mn |
| Mar 31, 2025 | 178.51 Mn |
| Dec 31, 2024 | 165.38 Mn |
| Sep 30, 2024 | 166.51 Mn |
| Jun 30, 2024 | 164.69 Mn |
| Mar 31, 2024 | 164.36 Mn |
| Dec 31, 2023 | 164.01 Mn |
| Sep 30, 2023 | 165.55 Mn |
| Jun 30, 2023 | 163.74 Mn |
| Mar 31, 2023 | 163.59 Mn |
| Dec 31, 2022 | 155.96 Mn |
| Sep 30, 2022 | 163.49 Mn |
| Jun 30, 2022 | 163.25 Mn |
| Mar 31, 2022 | 133.24 Mn |
| Dec 31, 2021 | 102.91 Mn |
| Sep 30, 2021 | 118.26 Mn |
PureCycle Technologies 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=PCT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "PCT", "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=PCT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();