Jack In The Box (JACK) Shares Outstanding (Diluted) (2009 - 2026)
Jack In The Box's Shares Outstanding (Diluted) came in at 19.46 million for fiscal Q3 2026 (quarter ended Jul 5, 2026), up 1.6% from 19.15 million a year earlier and up 0.4% from the prior quarter.
Jack In The Box (JACK) Shares Outstanding (Diluted) (2009 - 2026) Analysis & Trends
For FY2025 (ended Sep 28, 2025), Jack In The Box's Shares Outstanding (Diluted) was 19.05 million, down 2.6% from FY2024.
- Shares Outstanding (Diluted) has declined in each of the last 16 fiscal years, with a five-year compound annual growth rate of -3.9% (FY2020 to FY2025).
- Going back by fiscal year, Shares Outstanding (Diluted) was 19.57 million in FY2024 (-5.7%), 20.76 million in FY2023 (-2.3%), 21.25 million in FY2022 (-5.5%) and 22.48 million in FY2021 (-3.4%).
- The fiscal Q3 2026 figure represents the highest quarterly Shares Outstanding (Diluted) since fiscal Q4 2024.
- Year-over-year, Shares Outstanding (Diluted) increased in two of the last seven quarters, with an average decline of 2.1%.
- The fastest year-over-year change in Shares Outstanding (Diluted) over five years came in fiscal Q2 2026 (growth of 1.8%), and the weakest in fiscal Q1 2022 (a decline of 7.7%).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 163.51 Bn | 158.34 Bn | 6.42 Bn | 711.10 Mn |
| 2 | Starbucks | 107.11 Bn | 94.75 Bn | - | 1.14 Bn |
| 3 | Chipotle Mexican Grill | 40.42 Bn | 36.40 Bn | - | 1.28 Bn |
| 4 | Yum Brands | 37.23 Bn | 34.12 Bn | 1.47 Bn | 277.00 Mn |
| 5 | Restaurant Brands International | 24.82 Bn | 21.92 Bn | 1.38 Bn | 460.00 Mn |
| 6 | Darden Restaurants | 22.06 Bn | 21.17 Bn | -113.70 Mn | 116.30 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 336.00 Mn |
| 8 | Yum China Holdings | 14.18 Bn | 8.54 Bn | 537.00 Mn | 349.00 Mn |
| 9 | Texas Roadhouse | 10.25 Bn | 9.62 Bn | - | 65.92 Mn |
| 10 | Jack In The Box | 255.54 Mn | 255.54 Mn | - | 19.46 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 5, 2026 | 19.46 Mn |
| Apr 12, 2026 | 19.39 Mn |
| Sep 28, 2025 | 19.05 Mn |
| Jul 6, 2025 | 19.15 Mn |
| Apr 13, 2025 | 19.04 Mn |
| Jan 19, 2025 | 19.22 Mn |
| Sep 29, 2024 | 19.57 Mn |
| Jul 7, 2024 | 19.54 Mn |
| Apr 14, 2024 | 19.79 Mn |
| Jan 21, 2024 | 20.05 Mn |
| Oct 1, 2023 | 20.76 Mn |
| Jul 9, 2023 | 20.65 Mn |
| Apr 16, 2023 | 20.86 Mn |
| Jan 22, 2023 | 21.00 Mn |
| Oct 2, 2022 | 21.25 Mn |
| Jul 10, 2022 | 21.26 Mn |
| Apr 17, 2022 | 21.26 Mn |
| Jan 23, 2022 | 21.25 Mn |
| Oct 3, 2021 | 22.48 Mn |
| Jul 4, 2021 | 22.33 Mn |
Jack In The Box 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=JACK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "JACK", "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=JACK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();