Abercrombie & Fitch (ANF) Buildings (2011 - 2026)
Abercrombie & Fitch (ANF) recorded Buildings of $239.07 million in fiscal Q4 2026 (quarter ended Jan 31, 2026), up 0.4% from $238.13 million a year earlier.
Abercrombie & Fitch (ANF) Buildings (2011 - 2026) Analysis & Trends
Starting with fiscal Q4 2011, Abercrombie & Fitch's Buildings history includes 16 quarters.
- Annual Buildings has a five-year compound annual growth rate of 0.8% (FY2021 to FY2026).
- Across earlier fiscal years, Buildings came in at $238.13 million in FY2025 (unchanged), $238.19 million in FY2024 (+2.2%), $233 million in FY2023 (-0.2%) and $233.52 million in FY2022 (+1.5%).
- The fiscal Q4 2026 figure is the highest quarterly Buildings since fiscal Q4 2019.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,826.22 Bn | 2,342.91 Bn | 104.83 Bn |
| 2 | Home Depot | 312.87 Bn | 306.11 Bn | 16.12 Bn |
| 3 | Tjx Companies | 162.20 Bn | 139.75 Bn | 5.07 Bn |
| 4 | Lowes Companies | 110.98 Bn | 103.94 Bn | 8.58 Bn |
| 5 | Ross Stores | 75.30 Bn | 58.23 Bn | 2.12 Bn |
| 6 | O Reilly Automotive | 74.25 Bn | 73.33 Bn | 2.52 Bn |
| 7 | Target | 70.03 Bn | 64.62 Bn | 8.94 Bn |
| 8 | Autozone | 52.03 Bn | 50.93 Bn | 2.52 Bn |
| 9 | Carvana | 43.27 Bn | 33.76 Bn | 1.38 Bn |
| 10 | Abercrombie & Fitch | 7.07 Bn | 4.40 Bn | 900.58 Mn |
Historic Data
| Date | Value |
|---|---|
| Jan 31, 2026 | 239.07 Mn |
| Feb 1, 2025 | 238.13 Mn |
| Feb 3, 2024 | 238.19 Mn |
| Jan 28, 2023 | 233.00 Mn |
| Jan 29, 2022 | 233.52 Mn |
| Jan 30, 2021 | 230.10 Mn |
| Feb 1, 2020 | 230.28 Mn |
| Feb 2, 2019 | 285.01 Mn |
| Feb 3, 2018 | 288.98 Mn |
| Jan 28, 2017 | 282.56 Mn |
| Jan 30, 2016 | 287.08 Mn |
| Jan 31, 2015 | 286.82 Mn |
| Feb 1, 2014 | 296.38 Mn |
| Feb 2, 2013 | 297.24 Mn |
| Jan 28, 2012 | 267.57 Mn |
| Jan 29, 2011 | 223.52 Mn |
Abercrombie & Fitch Buildings 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=buildings&ticker=ANF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "buildings", "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=buildings&ticker=ANF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();