Royal Gold (RGLD) Weighted Average Shares Outstanding (2009 - 2026)
Royal Gold's Weighted Average Shares Outstanding came in at 84.78 million for Q2 2026, up 28.9% from 65.75 million a year earlier and up 0.1% from the prior quarter.
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Analysis
Royal Gold (RGLD) Weighted Average Shares Outstanding (2009 - 2026) Analysis & Trends
For FY2025, Royal Gold's Weighted Average Shares Outstanding was 69.42 million, up 5.7% from FY2024.
- Weighted Average Shares Outstanding has increased in each of the last three years, with a five-year compound annual growth rate of 1.2% (FY2020 to FY2025).
- Going back by year, Weighted Average Shares Outstanding was 65.66 million in FY2024 (+0.1%), 65.61 million in FY2023 (+0.1%), 65.58 million in FY2022 (unchanged) and 65.55 million in FY2021.
- The Q2 2026 figure represents the highest quarterly Weighted Average Shares Outstanding in data going back to Q4 2021.
- Year-over-year, Weighted Average Shares Outstanding has increased for 13 consecutive quarters, with growth averaging 8.0% over the last eight quarters.
- Across the past five years, year-over-year growth in Weighted Average Shares Outstanding ran from 0.0% in Q4 2022 to 28.9% in Q2 2026.
- Business Quant data shows RGLD's Weighted Average Shares Outstanding at 84.72 million (Q1 2026), 69.42 million (Q4 2025) and 65.76 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Rocket Companies | 41.00 Bn | 29.82 Bn | - |
| 2 | Royalty Pharma | 39.88 Bn | 40.21 Bn | - |
| 3 | Orix | 36.75 Bn | 7.39 Bn | 13.83 Bn |
| 4 | Federal National Mortgage Association Fannie Mae | 25.40 Bn | -16,108.71 Bn | - |
| 5 | Royal Gold | 23.20 Bn | 22.41 Bn | 402.46 Mn |
| 6 | Affirm Holdings | 22.35 Bn | 15.40 Bn | - |
| 7 | Synchrony Financial | 22.29 Bn | -45.34 Bn | - |
| 8 | Annaly Capital Management | 14.69 Bn | 5.72 Bn | - |
| 9 | Ares Capital | 14.04 Bn | 11.79 Bn | - |
| 10 | Federal Home Loan Mortgage | 12.55 Bn | -328.43 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 84.62 Mn |
| Jun 30, 2026 | 84.78 Mn |
| Mar 31, 2026 | 84.72 Mn |
| Dec 31, 2025 | 69.42 Mn |
| Sep 30, 2025 | 65.76 Mn |
| Jun 30, 2025 | 65.75 Mn |
| Mar 31, 2025 | 65.71 Mn |
| Dec 31, 2024 | 65.66 Mn |
| Sep 30, 2024 | 65.67 Mn |
| Jun 30, 2024 | 65.65 Mn |
| Mar 31, 2024 | 65.64 Mn |
| Dec 31, 2023 | 65.61 Mn |
| Sep 30, 2023 | 65.62 Mn |
| Jun 30, 2023 | 65.61 Mn |
| Mar 31, 2023 | 65.59 Mn |
| Dec 31, 2022 | 65.58 Mn |
| Sep 30, 2022 | 65.58 Mn |
| Jun 30, 2022 | 65.57 Mn |
| Mar 31, 2022 | 65.57 Mn |
| Dec 31, 2021 | 65.55 Mn |
API Access
Royal Gold Weighted Average 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=weighted-average-shares-outstanding&ticker=RGLD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "weighted-average-shares-outstanding", "ticker": "RGLD", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=weighted-average-shares-outstanding&ticker=RGLD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();