Abercrombie & Fitch (ANF) Treasury Shares (2010 - 2026)
Abercrombie & Fitch's Treasury Shares came in at $2.87 billion for fiscal Q2 2027 (quarter ended Aug 1, 2026), up 20.0% from $2.39 billion a year earlier and up 6.6% from the prior quarter.
Abercrombie & Fitch (ANF) Treasury Shares (2010 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Abercrombie & Fitch's Treasury Shares was $2.59 billion, up 20.7% from FY2025.
- Treasury Shares carries a five-year compound annual growth rate of 11.4% (FY2021 to FY2026).
- Going back by fiscal year, Treasury Shares was $2.15 billion in FY2025 (+13.2%), $1.9 billion in FY2024 (-3.0%), $1.95 billion in FY2023 (+5.1%) and $1.86 billion in FY2022 (+22.9%).
- The fiscal Q2 2027 figure represents the highest quarterly Treasury Shares in data going back to fiscal Q4 2010.
- Year-over-year, Treasury Shares has increased for ten consecutive quarters, with growth averaging 17.8% over the last eight quarters.
- The fastest year-over-year change in Treasury Shares over five years came in fiscal Q1 2023 (growth of 26.7%), and the weakest in fiscal Q4 2024 (a decline of 3.0%).
- Business Quant data shows ANF's Treasury Shares at $2.69 billion (Q1 2027), $2.59 billion (Q4 2026) and $2.49 billion (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Treasury Shares (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,834.02 Bn | 2,350.72 Bn | 104.83 Bn | 7.84 Bn |
| 2 | Home Depot | 312.44 Bn | 305.69 Bn | 16.12 Bn | 806.00 Mn |
| 3 | Tjx Companies | 162.62 Bn | 140.17 Bn | 5.07 Bn | - |
| 4 | Lowes Companies | 111.26 Bn | 104.23 Bn | 8.58 Bn | - |
| 5 | Ross Stores | 75.77 Bn | 58.69 Bn | 2.12 Bn | 935.88 Mn |
| 6 | O Reilly Automotive | 74.04 Bn | 73.13 Bn | 2.52 Bn | - |
| 7 | Target | 70.30 Bn | 64.89 Bn | 8.94 Bn | - |
| 8 | Autozone | 51.92 Bn | 50.82 Bn | 2.52 Bn | 865.08 Mn |
| 9 | Carvana | 42.38 Bn | 32.87 Bn | 1.38 Bn | - |
| 10 | Abercrombie & Fitch | 7.02 Bn | 4.35 Bn | 900.58 Mn | 60.87 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 60.87 Mn |
| May 2, 2026 | 58.87 Mn |
| Jan 31, 2026 | 58.30 Mn |
| Nov 1, 2025 | 57.44 Mn |
| Aug 2, 2025 | 56.23 Mn |
| May 3, 2025 | 55.66 Mn |
| Feb 1, 2025 | 53.57 Mn |
| Nov 2, 2024 | 52.93 Mn |
| Aug 3, 2024 | 52.23 Mn |
| May 4, 2024 | 52.20 Mn |
| Feb 3, 2024 | 52.80 Mn |
| Oct 28, 2023 | 52.90 Mn |
| Jul 29, 2023 | 53.16 Mn |
| Apr 29, 2023 | 53.24 Mn |
| Jan 28, 2023 | 54.30 Mn |
| Jan 29, 2022 | 50.32 Mn |
| Oct 30, 2021 | 46.26 Mn |
| Jul 31, 2021 | 43.61 Mn |
| May 1, 2021 | 41.37 Mn |
| Jan 30, 2021 | 40.90 Mn |
Abercrombie & Fitch Treasury Shares 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=treasury-shares&ticker=ANF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "treasury-shares", "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=treasury-shares&ticker=ANF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();