Abercrombie & Fitch (ANF) Net Margin (2010 - 2026)
Abercrombie & Fitch (ANF) recorded Net Margin of 14.50% in fiscal Q2 2027 (quarter ended Aug 1, 2026), up 2.81 percentage points from 11.70% a year earlier and up 8.48 percentage points from the prior quarter.
Abercrombie & Fitch (ANF) Net Margin (2010 - 2026) Analysis & Trends
On a TTM basis, Abercrombie & Fitch's Net Margin came in at 10.04% as of Aug 1, 2026, down 0.57 percentage points year-over-year; for FY2026 (ended Jan 31, 2026), it came in at 9.63%, down 1.82 percentage points from FY2025.
- Annual Net Margin has a five-year change of +13.27 percentage points (FY2021 to FY2026).
- Across earlier fiscal years, Net Margin came in at 11.44% in FY2025 (+3.78 pp), 7.67% in FY2024 (+7.59 pp), 0.08% in FY2023 (-7.01 pp) and 7.08% in FY2022 (+10.73 pp).
- The fiscal Q2 2027 figure is the highest quarterly Net Margin in data going back to fiscal Q1 2011.
- On a year-over-year basis, Net Margin rose in three of the last eight quarters, with an average year-over-year change of -0.41 percentage points.
- Peak year-over-year performance for Net Margin in the last five years was a gain of 9.36 percentage points in fiscal Q3 2024, against a drop of 14.64 percentage points in fiscal Q2 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at 6.03% (Q1 2027), 10.31% (Q4 2026) and 8.76% (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn | 31.23% |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn | 9.96% |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn | 10.01% |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn | 9.24% |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn | 13.59% |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | 7.07% |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn | 14.62% |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn | 4.20% |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn | 13.25% |
| 10 | Abercrombie & Fitch | 5.72 Bn | 3.06 Bn | 900.58 Mn | 14.50% |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 14.50% |
| May 2, 2026 | 6.03% |
| Jan 31, 2026 | 10.31% |
| Nov 1, 2025 | 8.76% |
| Aug 2, 2025 | 11.70% |
| May 3, 2025 | 7.33% |
| Feb 1, 2025 | 11.81% |
| Nov 2, 2024 | 10.92% |
| Aug 3, 2024 | 11.74% |
| May 4, 2024 | 11.15% |
| Feb 3, 2024 | 10.91% |
| Oct 28, 2023 | 9.11% |
| Jul 29, 2023 | 6.08% |
| Apr 29, 2023 | 1.98% |
| Jan 28, 2023 | 3.19% |
| Oct 29, 2022 | -0.25% |
| Jul 30, 2022 | -2.09% |
| Apr 30, 2022 | -2.03% |
| Jan 29, 2022 | 5.64% |
| Oct 30, 2021 | 5.22% |
Abercrombie & Fitch Net Margin 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=net-margin&ticker=ANF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-margin", "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=net-margin&ticker=ANF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();