Sifco Industries (SIF) Shares Outstanding (Entity) (2010 - 2026)
Sifco Industries (SIF) reported Shares Outstanding (Entity) of 6.25 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 1.2% from 6.18 million a year earlier and unchanged from the prior quarter.
Sifco Industries (SIF) Shares Outstanding (Entity) (2010 - 2026) Analysis & Trends
For FY2025 (ended Sep 30, 2025), Sifco Industries posted Shares Outstanding (Entity) of 6.18 million, up 0.4% from FY2024.
- Shares Outstanding (Entity) has increased for 15 consecutive fiscal years, with a five-year compound annual growth rate of 0.9% (FY2020 to FY2025).
- By fiscal year, Shares Outstanding (Entity) came in at 6.16 million in FY2024 (+0.9%), 6.11 million in FY2023 (+1.1%), 6.04 million in FY2022 (+0.9%) and 5.99 million in FY2021 (+1.2%).
- Year over year, Shares Outstanding (Entity) has now increased in each of the last four quarters, with growth averaging 0.5% over the last eight quarters.
- The high point for year-over-year Shares Outstanding (Entity) in five years was fiscal Q1 2024 (growth of 1.4%); the low point was fiscal Q1 2025 (a decline of 0.2%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at 6.25 million (Q2 2026), 6.22 million (Q1 2026) and 6.18 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Entity.) (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 324.09 Bn | 278.09 Bn | 4.68 Bn | 1.04 Bn |
| 2 | Rtx | 250.22 Bn | 223.44 Bn | 5.13 Bn | 1.35 Bn |
| 3 | Boeing | 147.08 Bn | 53.78 Bn | 2.41 Bn | 790.37 Mn |
| 4 | Lockheed Martin | 117.51 Bn | 104.24 Bn | 2.45 Bn | 230.79 Mn |
| 5 | Howmet Aerospace | 90.46 Bn | 86.07 Bn | 951.00 Mn | 400.00 Mn |
| 6 | General Dynamics | 89.77 Bn | 76.88 Bn | 2.18 Bn | 270.56 Mn |
| 7 | Motorola Solutions | 73.88 Bn | 70.24 Bn | 1.68 Bn | 165.50 Mn |
| 8 | Northrop Grumman | 68.68 Bn | 57.92 Bn | 2.12 Bn | 142.06 Mn |
| 9 | Honeywell International | 66.86 Bn | 19.30 Bn | 3.65 Bn | 316.94 Mn |
| 10 | Sifco Industries | 140.59 Mn | 138.61 Mn | 3.42 Mn | 6.25 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.25 Mn |
| Mar 31, 2026 | 6.25 Mn |
| Dec 31, 2025 | 6.22 Mn |
| Sep 30, 2025 | 6.18 Mn |
| Jun 30, 2025 | 6.18 Mn |
| Mar 31, 2025 | 6.19 Mn |
| Dec 31, 2024 | 6.15 Mn |
| Sep 30, 2024 | 6.16 Mn |
| Jun 30, 2024 | 6.18 Mn |
| Mar 31, 2024 | 6.19 Mn |
| Dec 31, 2023 | 6.16 Mn |
| Sep 30, 2023 | 6.11 Mn |
| Jun 30, 2023 | 6.11 Mn |
| Mar 31, 2023 | 6.11 Mn |
| Dec 31, 2022 | 6.07 Mn |
| Sep 30, 2022 | 6.04 Mn |
| Jun 30, 2022 | 6.04 Mn |
| Mar 31, 2022 | 6.04 Mn |
| Dec 31, 2021 | 6.00 Mn |
| Sep 30, 2021 | 5.99 Mn |
Sifco Industries Shares Outstanding (Entity) 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-entity&ticker=SIF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-entity", "ticker": "SIF", "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-entity&ticker=SIF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();