Abercrombie & Fitch (ANF) Enterprise Value (2010 - 2026)
Abercrombie & Fitch's Enterprise Value was $3.6 billion in fiscal Q2 2027 (quarter ended Aug 1, 2026), down 2.6% from $3.7 billion a year earlier but up 14.3% from the prior quarter.
Powered by 
Analysis
Abercrombie & Fitch (ANF) Enterprise Value (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Abercrombie & Fitch's Enterprise Value was $1.57 billion through Aug 1, 2026, up 7.1% year-over-year; for FY2026 (ended Jan 31, 2026), it was $3.62 billion, down 27.1% from FY2025.
- Enterprise Value shows a five-year compound annual growth rate of 60.4% (FY2021 to FY2026).
- In earlier fiscal years, Enterprise Value was $4.96 billion in FY2025 (+5.5%), $4.7 billion in FY2024 (+460.7%), $838.29 million in FY2023 (-19.0%) and $1.04 billion in FY2022 (+203.9%).
- Quarterly Enterprise Value has moved between $521.95 million (fiscal Q2 2023) and $6.03 billion (fiscal Q2 2025) over five years.
- Compared with a year earlier, Enterprise Value was higher in three of the last eight quarters, with an average decline of 0.1%.
- The best year-over-year quarter for Enterprise Value over five years was fiscal Q1 2025 (growth of 673.4%); the worst was fiscal Q2 2023 (a decline of 60.5%).
- Per Business Quant data, ANF's Enterprise Value in the three fiscal quarters before Q2 2027 was $3.15 billion (Q1 2027), $3.62 billion (Q4 2026) and $2.71 billion (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,827.99 Bn | 2,344.69 Bn | 104.83 Bn |
| 2 | Home Depot | 314.23 Bn | 307.47 Bn | 16.12 Bn |
| 3 | Tjx Companies | 162.78 Bn | 140.33 Bn | 5.07 Bn |
| 4 | Lowes Companies | 111.11 Bn | 104.07 Bn | 8.58 Bn |
| 5 | Ross Stores | 75.63 Bn | 58.56 Bn | 2.12 Bn |
| 6 | O Reilly Automotive | 74.26 Bn | 73.35 Bn | 2.52 Bn |
| 7 | Target | 70.17 Bn | 64.76 Bn | 8.94 Bn |
| 8 | Autozone | 51.95 Bn | 50.85 Bn | 2.52 Bn |
| 9 | Carvana | 43.40 Bn | 33.89 Bn | 1.38 Bn |
| 10 | Abercrombie & Fitch | 7.06 Bn | 4.39 Bn | 900.58 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 3.60 Bn |
| May 2, 2026 | 3.15 Bn |
| Jan 31, 2026 | 3.62 Bn |
| Nov 1, 2025 | 2.71 Bn |
| Aug 2, 2025 | 3.70 Bn |
| May 3, 2025 | 2.78 Bn |
| Feb 1, 2025 | 4.96 Bn |
| Nov 2, 2024 | 5.89 Bn |
| Aug 3, 2024 | 6.03 Bn |
| May 4, 2024 | 5.73 Bn |
| Feb 3, 2024 | 4.70 Bn |
| Oct 28, 2023 | 2.32 Bn |
| Jul 29, 2023 | 1.41 Bn |
| Apr 29, 2023 | 740.69 Mn |
| Jan 28, 2023 | 838.29 Mn |
| Oct 29, 2022 | 669.32 Mn |
| Jul 30, 2022 | 521.95 Mn |
| Apr 30, 2022 | 1.29 Bn |
| Jan 29, 2022 | 1.04 Bn |
| Oct 30, 2021 | 1.38 Bn |
API Access
Abercrombie & Fitch Enterprise Value 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=enterprise-value&ticker=ANF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=ANF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();