Abercrombie & Fitch (ANF) Operating Expenses (2013 - 2026)
Abercrombie & Fitch (ANF) reported Operating Expenses of $204.78 million for fiscal Q2 2027 (quarter ended Aug 1, 2026), up 16.8% from $175.33 million a year earlier and up 12.1% from the prior quarter.
Abercrombie & Fitch (ANF) Operating Expenses (2013 - 2026) Analysis & Trends
Over the twelve months ended Aug 1, 2026, Abercrombie & Fitch's Operating Expenses came in at $762.76 million, up 4.1% year-over-year; for FY2026 (ended Jan 31, 2026), it was $878.07 million, down 2.6% from FY2025.
- Operating Expenses has a five-year compound annual growth rate of 39.3% (FY2021 to FY2026).
- By fiscal year, Operating Expenses came in at $901.29 million in FY2025 (+10.0%), $819.68 million in FY2024 (+20.1%), $682.25 million in FY2023 (+382.5%) and $141.4 million in FY2022 (-15.4%).
- The fiscal Q2 2027 figure ranks as the highest quarterly Operating Expenses in data going back to fiscal Q3 2014.
- Year over year, Operating Expenses gained in three of the last six quarters, with growth averaging 1.4%.
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at $182.75 million (Q1 2027), $181.82 million (Q4 2026) and $193.4 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,654.24 Bn | 2,170.93 Bn | 104.83 Bn | 173.15 Bn |
| 2 | Home Depot | 289.19 Bn | 282.43 Bn | 16.12 Bn | 9.28 Bn |
| 3 | Tjx Companies | 143.39 Bn | 120.94 Bn | 5.07 Bn | 3.09 Bn |
| 4 | Lowes Companies | 105.29 Bn | 98.25 Bn | 8.58 Bn | 4.46 Bn |
| 5 | Ross Stores | 75.79 Bn | 58.72 Bn | 2.12 Bn | 1.02 Bn |
| 6 | Target | 72.00 Bn | 66.59 Bn | 8.94 Bn | 5.73 Bn |
| 7 | O Reilly Automotive | 70.61 Bn | 69.69 Bn | 2.52 Bn | 1.53 Bn |
| 8 | Carvana | 66.52 Bn | 58.12 Bn | 1.38 Bn | 704.00 Mn |
| 9 | Autozone | 47.57 Bn | 46.47 Bn | 2.52 Bn | 1.60 Bn |
| 10 | Abercrombie & Fitch | 5.69 Bn | 3.03 Bn | 900.58 Mn | 204.78 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 204.78 Mn |
| May 2, 2026 | 182.75 Mn |
| Jan 31, 2026 | 181.82 Mn |
| Nov 1, 2025 | 193.40 Mn |
| Aug 2, 2025 | 175.33 Mn |
| May 3, 2025 | 174.93 Mn |
| Feb 1, 2025 | 194.54 Mn |
| Nov 2, 2024 | 188.25 Mn |
| Aug 3, 2024 | 178.15 Mn |
| May 4, 2024 | 189.55 Mn |
| May 2, 2015 | -1.60 Mn |
| Jan 31, 2015 | 2.38 Mn |
| Aug 2, 2014 | 419,000.00 |
| May 3, 2014 | 5.63 Mn |
| Feb 1, 2014 | 36.79 Mn |
| Nov 2, 2013 | 44.71 Mn |
Abercrombie & Fitch Operating Expenses 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=operating-expenses&ticker=ANF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=ANF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();