Abercrombie & Fitch (ANF) Cost of Revenue (2010 - 2026)
Abercrombie & Fitch (ANF) recorded Cost of Revenue of $366.11 million in fiscal Q2 2027 (quarter ended Aug 1, 2026), down 18.9% from $451.59 million a year earlier and down 11.5% from the prior quarter.
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Analysis
Abercrombie & Fitch (ANF) Cost of Revenue (2010 - 2026) Analysis & Trends
On a TTM basis, Abercrombie & Fitch's Cost of Revenue came in at $1.94 billion as of Aug 1, 2026, up 2.0% year-over-year; for FY2026 (ended Jan 31, 2026), it came in at $2.03 billion, up 14.4% from FY2025.
- Annual Cost of Revenue has a five-year compound annual growth rate of 10.5% (FY2021 to FY2026).
- Across earlier fiscal years, Cost of Revenue came in at $1.77 billion in FY2025 (+11.8%), $1.59 billion in FY2024 (-0.4%), $1.59 billion in FY2023 (+13.7%) and $1.4 billion in FY2022 (+13.5%).
- The fiscal Q2 2027 figure is the lowest quarterly Cost of Revenue since fiscal Q1 2025.
- On a year-over-year basis, Cost of Revenue rose in six of the last eight quarters, with growth averaging 8.5%.
- Peak year-over-year performance for Cost of Revenue in the last five years was growth of 26.9% in fiscal Q1 2023, against a decline of 18.9% in fiscal Q2 2027 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $413.84 million (Q1 2027), $676.49 million (Q4 2026) and $483.67 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,712.14 Bn | 2,228.84 Bn | 104.83 Bn | 95.78 Bn |
| 2 | Home Depot | 282.27 Bn | 275.52 Bn | 16.12 Bn | 31.75 Bn |
| 3 | Tjx Companies | 146.16 Bn | 123.70 Bn | 5.07 Bn | 10.11 Bn |
| 4 | Lowes Companies | 101.42 Bn | 94.39 Bn | 8.58 Bn | 17.38 Bn |
| 5 | Ross Stores | 73.06 Bn | 55.98 Bn | 2.12 Bn | 4.15 Bn |
| 6 | Target | 70.86 Bn | 65.45 Bn | 8.94 Bn | 17.60 Bn |
| 7 | Carvana | 70.11 Bn | 61.71 Bn | 1.38 Bn | 5.99 Bn |
| 8 | O Reilly Automotive | 69.29 Bn | 68.38 Bn | 2.52 Bn | 2.38 Bn |
| 9 | Autozone | 45.61 Bn | 44.51 Bn | 2.52 Bn | 2.32 Bn |
| 10 | Abercrombie & Fitch | 5.77 Bn | 3.11 Bn | 900.58 Mn | 366.11 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 366.11 Mn |
| May 2, 2026 | 413.84 Mn |
| Jan 31, 2026 | 676.49 Mn |
| Nov 1, 2025 | 483.67 Mn |
| Aug 2, 2025 | 451.59 Mn |
| May 3, 2025 | 417.13 Mn |
| Feb 1, 2025 | 610.91 Mn |
| Nov 2, 2024 | 422.03 Mn |
| Aug 3, 2024 | 397.71 Mn |
| May 4, 2024 | 343.27 Mn |
| Feb 3, 2024 | 539.34 Mn |
| Oct 28, 2023 | 370.76 Mn |
| Jul 29, 2023 | 350.97 Mn |
| Apr 29, 2023 | 326.20 Mn |
| Jan 28, 2023 | 531.53 Mn |
| Oct 29, 2022 | 359.27 Mn |
| Jul 30, 2022 | 339.20 Mn |
| Apr 30, 2022 | 363.22 Mn |
| Jan 29, 2022 | 484.22 Mn |
| Oct 30, 2021 | 328.92 Mn |
API Access
Abercrombie & Fitch Cost of Revenue 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=cost-of-revenue&ticker=ANF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=ANF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();