Enova International (ENVA) Weighted Average Shares Outstanding (2013 - 2026)
Enova International (ENVA) posted Weighted Average Shares Outstanding of 24.88 million for Q3 2026, down 0.3% from 24.96 million a year earlier and unchanged from the prior quarter.
Enova International (ENVA) Weighted Average Shares Outstanding (2013 - 2026) Analysis & Trends
For FY2025, Enova International's Weighted Average Shares Outstanding came in at 25.17 million, down 6.5% from FY2024.
- Annual Weighted Average Shares Outstanding has declined for four consecutive years, with a five-year compound annual growth rate of -4.6% (FY2020 to FY2025).
- In prior years, Enova International's Weighted Average Shares Outstanding was 26.92 million in FY2024 (-12.2%), 30.67 million in FY2023 (-5.0%), 32.29 million in FY2022 (-11.2%) and 36.35 million in FY2021 (+14.0%).
- Quarterly Weighted Average Shares Outstanding has run from a low of 24.87 million in Q1 2026 to a high of 36.35 million in Q4 2021 over five years.
- On a year-over-year basis, Weighted Average Shares Outstanding has declined in each of the last 19 quarters, with an average decline of 5.5% over the last eight quarters.
- The strongest year-over-year quarter for Weighted Average Shares Outstanding in the past five years was Q4 2021, with growth of 14.0%; the weakest was Q3 2024, with a decline of 13.7%.
- According to Business Quant data, Weighted Average Shares Outstanding for the three prior quarters was 24.88 million (Q2 2026), 24.87 million (Q1 2026) and 25.17 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Rocket Companies | 41.61 Bn | 30.43 Bn | - |
| 2 | Orix | 40.94 Bn | 9.67 Bn | 12.74 Bn |
| 3 | Royalty Pharma | 30.99 Bn | 27.95 Bn | - |
| 4 | Federal National Mortgage Association Fannie Mae | 25.29 Bn | 25.29 Bn | - |
| 5 | Synchrony Financial | 24.02 Bn | -43.61 Bn | - |
| 6 | Affirm Holdings | 23.90 Bn | 17.59 Bn | - |
| 7 | Royal Gold | 21.58 Bn | 20.76 Bn | 390.45 Mn |
| 8 | Annaly Capital Management | 14.45 Bn | 5.41 Bn | - |
| 9 | Ares Capital | 14.06 Bn | 11.81 Bn | - |
| 10 | Enova International | 4.49 Bn | 4.10 Bn | 614.36 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 24.88 Mn |
| Jun 30, 2026 | 24.88 Mn |
| Mar 31, 2026 | 24.87 Mn |
| Dec 31, 2025 | 25.17 Mn |
| Sep 30, 2025 | 24.96 Mn |
| Jun 30, 2025 | 25.30 Mn |
| Mar 31, 2025 | 25.68 Mn |
| Dec 31, 2024 | 26.92 Mn |
| Sep 30, 2024 | 26.42 Mn |
| Jun 30, 2024 | 26.94 Mn |
| Mar 31, 2024 | 28.20 Mn |
| Dec 31, 2023 | 30.67 Mn |
| Sep 30, 2023 | 30.60 Mn |
| Jun 30, 2023 | 31.08 Mn |
| Mar 31, 2023 | 31.34 Mn |
| Dec 31, 2022 | 32.29 Mn |
| Sep 30, 2022 | 31.91 Mn |
| Jun 30, 2022 | 32.50 Mn |
| Mar 31, 2022 | 33.37 Mn |
| Dec 31, 2021 | 36.35 Mn |
Enova International 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=ENVA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "weighted-average-shares-outstanding", "ticker": "ENVA", "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=ENVA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();