Abercrombie & Fitch (ANF) Shares Outstanding (2010 - 2026)
Abercrombie & Fitch's Shares Outstanding came in at 43.77 million for fiscal Q2 2027 (quarter ended Aug 1, 2026), down 8.0% from 47.55 million a year earlier and down 2.7% from the prior quarter.
Abercrombie & Fitch (ANF) Shares Outstanding (2010 - 2026) Analysis & Trends
For FY2026 (ended Jan 31, 2026), Abercrombie & Fitch's Shares Outstanding was 47.32 million, down 6.9% from FY2025.
- Shares Outstanding carries a five-year compound annual growth rate of -5.4% (FY2021 to FY2026).
- Going back by fiscal year, Shares Outstanding was 50.84 million in FY2025 (+1.2%), 50.25 million in FY2024 (-0.1%), 50.31 million in FY2023 (-15.6%) and 59.6 million in FY2022 (-4.7%).
- The fiscal Q2 2027 figure represents the lowest quarterly Shares Outstanding in data going back to fiscal Q4 2010.
- Year-over-year, Shares Outstanding has declined for six consecutive quarters, with an average decline of 5.0% over the last eight quarters.
- The fastest year-over-year change in Shares Outstanding over five years came in fiscal Q1 2025 (growth of 2.7%), and the weakest in fiscal Q2 2023 (a decline of 17.9%).
- Business Quant data shows ANF's Shares Outstanding at 44.97 million (Q1 2027), 47.32 million (Q4 2026) and 46.84 million (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn | 10.77 Bn |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn | 994.00 Mn |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn | 1.10 Bn |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn | 559.00 Mn |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn | 317.69 Mn |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | 454.40 Mn |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn | 825.20 Mn |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn | 717.69 Mn |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn | 16.47 Mn |
| 10 | Abercrombie & Fitch | 5.72 Bn | 3.06 Bn | 900.58 Mn | 43.77 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 43.77 Mn |
| May 2, 2026 | 44.97 Mn |
| Jan 31, 2026 | 47.32 Mn |
| Nov 1, 2025 | 46.84 Mn |
| Aug 2, 2025 | 47.55 Mn |
| May 3, 2025 | 49.21 Mn |
| Feb 1, 2025 | 50.84 Mn |
| Nov 2, 2024 | 50.95 Mn |
| Aug 3, 2024 | 51.25 Mn |
| May 4, 2024 | 50.89 Mn |
| Feb 3, 2024 | 50.25 Mn |
| Oct 28, 2023 | 50.50 Mn |
| Jul 29, 2023 | 50.32 Mn |
| Apr 29, 2023 | 49.57 Mn |
| Jan 28, 2023 | 50.31 Mn |
| Oct 29, 2022 | 49.49 Mn |
| Jul 30, 2022 | 50.44 Mn |
| Apr 30, 2022 | 52.08 Mn |
| Jan 29, 2022 | 59.60 Mn |
| Oct 30, 2021 | 58.80 Mn |
Abercrombie & Fitch 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=ANF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "ticker": "ANF", "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=ANF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();