Federal Agricultural Mortgage (AGM) Weighted Average Shares Outstanding (2010 - 2026)
Federal Agricultural Mortgage's Weighted Average Shares Outstanding came in at 10.85 million for Q2 2026, down 0.8% from 10.93 million a year earlier and unchanged from the prior quarter.
Federal Agricultural Mortgage (AGM) Weighted Average Shares Outstanding (2010 - 2026) Analysis & Trends
For FY2025, Federal Agricultural Mortgage's Weighted Average Shares Outstanding was 10.91 million, up 0.3% from FY2024.
- Weighted Average Shares Outstanding has increased in each of the last nine years, with a five-year compound annual growth rate of 0.3% (FY2020 to FY2025).
- Going back by year, Weighted Average Shares Outstanding was 10.87 million in FY2024 (+0.4%), 10.83 million in FY2023 (+0.4%), 10.79 million in FY2022 (+0.3%) and 10.76 million in FY2021 (+0.3%).
- The five-year range for quarterly Weighted Average Shares Outstanding is 10.76 million (Q4 2021) to 10.93 million (Q3 2025).
- Year-over-year, Weighted Average Shares Outstanding increased in six of the last eight quarters, with growth averaging 0.2%.
- The fastest year-over-year change in Weighted Average Shares Outstanding over five years came in Q2 2025 (growth of 0.5%), and the weakest in Q2 2026 (a decline of 0.8%).
- Business Quant data shows AGM's Weighted Average Shares Outstanding at 10.84 million (Q1 2026), 10.91 million (Q4 2025) and 10.93 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Rocket Companies | 42.82 Bn | 31.64 Bn | - |
| 2 | Orix | 38.85 Bn | 7.58 Bn | 12.74 Bn |
| 3 | Royalty Pharma | 30.02 Bn | 27.40 Bn | - |
| 4 | Federal National Mortgage Association Fannie Mae | 26.05 Bn | 26.05 Bn | - |
| 5 | Synchrony Financial | 23.55 Bn | -44.08 Bn | - |
| 6 | Affirm Holdings | 23.27 Bn | 16.32 Bn | - |
| 7 | Royal Gold | 22.53 Bn | 21.71 Bn | 390.45 Mn |
| 8 | Annaly Capital Management | 14.32 Bn | 5.27 Bn | - |
| 9 | Ares Capital | 13.77 Bn | 11.52 Bn | - |
| 10 | Federal Agricultural Mortgage | 1.95 Bn | -1.69 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 10.85 Mn |
| Mar 31, 2026 | 10.84 Mn |
| Dec 31, 2025 | 10.91 Mn |
| Sep 30, 2025 | 10.93 Mn |
| Jun 30, 2025 | 10.93 Mn |
| Mar 31, 2025 | 10.90 Mn |
| Dec 31, 2024 | 10.87 Mn |
| Sep 30, 2024 | 10.88 Mn |
| Jun 30, 2024 | 10.88 Mn |
| Mar 31, 2024 | 10.85 Mn |
| Dec 31, 2023 | 10.83 Mn |
| Sep 30, 2023 | 10.84 Mn |
| Jun 30, 2023 | 10.83 Mn |
| Mar 31, 2023 | 10.80 Mn |
| Dec 31, 2022 | 10.79 Mn |
| Sep 30, 2022 | 10.80 Mn |
| Jun 30, 2022 | 10.80 Mn |
| Mar 31, 2022 | 10.77 Mn |
| Dec 31, 2021 | 10.76 Mn |
| Sep 30, 2021 | 10.77 Mn |
Federal Agricultural Mortgage 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=AGM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "weighted-average-shares-outstanding", "ticker": "AGM", "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=AGM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();