Jackson Financial (JXN) Shares Outstanding (2020 - 2026)
Jackson Financial (JXN) posted Shares Outstanding of 70.16 million for Q2 2026, down 2.3% from 71.83 million a year earlier but up 0.6% from the prior quarter.
Jackson Financial (JXN) Shares Outstanding (2020 - 2026) Analysis & Trends
For FY2025, Jackson Financial's Shares Outstanding came in at 70.98 million, down 6.7% from FY2024.
- Annual Shares Outstanding has declined for four consecutive years, though with a five-year compound annual growth rate of 1.0% (FY2020 to FY2025).
- In prior years, Jackson Financial's Shares Outstanding was 76.05 million in FY2024 (-7.0%), 81.8 million in FY2023 (-4.3%), 85.51 million in FY2022 (-9.0%) and 93.99 million in FY2021 (+38.9%).
- Quarterly Shares Outstanding has run from a low of 69.74 million in Q1 2026 to a high of 94.46 million in Q3 2021 over five years.
- On a year-over-year basis, Shares Outstanding has declined in each of the last 18 quarters, with an average decline of 6.0% over the last eight quarters.
- The strongest year-over-year quarter for Shares Outstanding in the past five years was Q4 2021, with growth of 38.9%; the weakest was Q3 2022, with a decline of 9.9%.
- According to Business Quant data, Shares Outstanding for the three prior quarters was 69.74 million (Q1 2026), 70.98 million (Q4 2025) and 70.08 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Chubb | 138.43 Bn | 85.01 Bn | 9.13 Bn | 387.41 Mn |
| 2 | Progressive | 133.26 Bn | 109.09 Bn | 9.04 Bn | 583.00 Mn |
| 3 | Marsh & Mclennan Companies | 93.87 Bn | 86.03 Bn | - | 476.00 Mn |
| 4 | Travelers Companies | 84.26 Bn | 60.51 Bn | 6.23 Bn | 210.50 Mn |
| 5 | Manulife Financial | 75.54 Bn | -19.35 Bn | - | 1.70 Bn |
| 6 | Arthur J. Gallagher | 68.89 Bn | 63.30 Bn | - | 256.70 Mn |
| 7 | Allstate | 65.11 Bn | 26.38 Bn | 8.73 Bn | 256.00 Mn |
| 8 | Aon | 64.47 Bn | 57.69 Bn | - | 213.20 Mn |
| 9 | Metlife | 63.31 Bn | -43.47 Bn | 7.82 Bn | 642.60 Mn |
| 10 | Jackson Financial | 9.04 Bn | -12.75 Bn | - | 70.16 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 70.16 Mn |
| Mar 31, 2026 | 69.74 Mn |
| Dec 31, 2025 | 70.98 Mn |
| Sep 30, 2025 | 70.08 Mn |
| Jun 30, 2025 | 71.83 Mn |
| Mar 31, 2025 | 73.47 Mn |
| Dec 31, 2024 | 76.05 Mn |
| Sep 30, 2024 | 75.37 Mn |
| Jun 30, 2024 | 76.60 Mn |
| Mar 31, 2024 | 78.06 Mn |
| Dec 31, 2023 | 81.80 Mn |
| Sep 30, 2023 | 82.06 Mn |
| Jun 30, 2023 | 82.60 Mn |
| Mar 31, 2023 | 82.65 Mn |
| Dec 31, 2022 | 85.51 Mn |
| Sep 30, 2022 | 85.10 Mn |
| Jun 30, 2022 | 85.97 Mn |
| Mar 31, 2022 | 86.35 Mn |
| Dec 31, 2021 | 93.99 Mn |
| Sep 30, 2021 | 94.46 Mn |
Jackson Financial 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=shares-outstanding&ticker=JXN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "ticker": "JXN", "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&ticker=JXN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();