DyTb (TMRC) Shares Outstanding (Diluted) (2020 - 2026)
DyTb (TMRC) recorded Shares Outstanding (Diluted) of 88.25 million in fiscal Q3 2026 (quarter ended May 31, 2026), up 17.7% from 74.96 million a year earlier and up 7.9% from the prior quarter.
DyTb (TMRC) Shares Outstanding (Diluted) (2020 - 2026) Analysis & Trends
For FY2025 (ended Aug 31, 2025), DyTb reported Shares Outstanding (Diluted) of 75 million, up 1.4% from FY2024.
- Annual Shares Outstanding (Diluted) has increased for three straight fiscal years, with a five-year compound annual growth rate of 4.1% (FY2020 to FY2025).
- Across earlier fiscal years, Shares Outstanding (Diluted) came in at 73.93 million in FY2024 (+1.0%), 73.2 million in FY2023 (+1.1%), 72.4 million in FY2022 (-0.6%) and 72.86 million in FY2021 (+19.1%).
- The fiscal Q3 2026 figure is the highest quarterly Shares Outstanding (Diluted) in data going back to fiscal Q3 2020.
- On a year-over-year basis, Shares Outstanding (Diluted) has increased for 15 consecutive quarters, with growth averaging 5.1% over the last eight quarters.
- Peak year-over-year performance for Shares Outstanding (Diluted) in the last five years was growth of 19.1% in fiscal Q4 2021, against a decline of 0.9% in fiscal Q3 2022 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at 81.77 million (Q2 2026), 80.05 million (Q1 2026) and 75 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 181.90 Bn | 148.03 Bn | - | 1.64 Bn |
| 2 | Southern Copper | 169.19 Bn | 148.06 Bn | 2.90 Bn | 829.10 Mn |
| 3 | Newmont | 121.55 Bn | 89.73 Bn | 4.03 Bn | 1.07 Bn |
| 4 | Ternium | 108.92 Bn | 73.97 Bn | 941.02 Mn | - |
| 5 | Freeport-Mcmoran | 100.46 Bn | 96.62 Bn | 2.19 Bn | 1.44 Bn |
| 6 | Agnico Eagle Mines | 91.62 Bn | 91.62 Bn | 2.43 Bn | 503.43 Mn |
| 7 | Barrick Mining | 68.12 Bn | 52.86 Bn | 2.90 Bn | 1.71 Bn |
| 8 | Nucor | 53.04 Bn | 43.58 Bn | 2.03 Bn | 228.50 Mn |
| 9 | ArcelorMittal | 50.74 Bn | 31.77 Bn | - | 766.00 Mn |
| 10 | DyTb | 71.56 Mn | 71.56 Mn | - | 88.25 Mn |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 88.25 Mn |
| Feb 28, 2026 | 81.77 Mn |
| Nov 30, 2025 | 80.05 Mn |
| Aug 31, 2025 | 75.00 Mn |
| May 31, 2025 | 74.96 Mn |
| Feb 28, 2025 | 74.73 Mn |
| Nov 30, 2024 | 74.44 Mn |
| Aug 31, 2024 | 73.93 Mn |
| May 31, 2024 | 73.94 Mn |
| Feb 29, 2024 | 73.80 Mn |
| Nov 30, 2023 | 73.77 Mn |
| Aug 31, 2023 | 73.20 Mn |
| May 31, 2023 | 73.27 Mn |
| Feb 28, 2023 | 72.91 Mn |
| Nov 30, 2022 | 72.88 Mn |
| Aug 31, 2022 | 72.40 Mn |
| May 31, 2022 | 72.41 Mn |
| Feb 28, 2022 | 72.18 Mn |
| Nov 30, 2021 | 71.96 Mn |
| Aug 31, 2021 | 72.86 Mn |
DyTb 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=TMRC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "TMRC", "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=TMRC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();