Abercrombie & Fitch (ANF) Operating Income (2010 - 2026)
Abercrombie & Fitch's Operating Income came in at $252.7 million for fiscal Q2 2027 (quarter ended Aug 1, 2026), up 22.3% from $206.66 million a year earlier and up 184.6% from the prior quarter.
Abercrombie & Fitch (ANF) Operating Income (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Aug 1, 2026, Abercrombie & Fitch reported Operating Income of $732.45 million, down 1.5% year-over-year; for FY2026 (ended Jan 31, 2026), it was $699.14 million, down 5.6% from FY2025.
- Going back by fiscal year, Operating Income was $740.82 million in FY2025 (+52.9%), $484.67 million in FY2024 (+423.1%), $92.65 million in FY2023 (-73.0%) and $343.08 million in FY2022.
- The fiscal Q2 2027 figure represents the highest quarterly Operating Income since fiscal Q4 2025.
- Year-over-year, Operating Income increased in four of the last eight quarters, with growth averaging 3.6%.
- The fastest year-over-year change in Operating Income over five years came in fiscal Q3 2024 (growth of 686.8%), and the weakest in fiscal Q3 2023 (a decline of 75.9%).
- Business Quant data shows ANF's Operating Income at $88.8 million (Q1 2027), $235.93 million (Q4 2026) and $155.02 million (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Op. Inc (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,712.14 Bn | 2,228.84 Bn | 104.83 Bn | 27.46 Bn |
| 2 | Home Depot | 282.27 Bn | 275.52 Bn | 16.12 Bn | 6.84 Bn |
| 3 | Tjx Companies | 146.16 Bn | 123.70 Bn | 5.07 Bn | 1.99 Bn |
| 4 | Lowes Companies | 101.42 Bn | 94.39 Bn | 8.58 Bn | 3.55 Bn |
| 5 | Ross Stores | 73.06 Bn | 55.98 Bn | 2.12 Bn | 1.10 Bn |
| 6 | Target | 70.86 Bn | 65.45 Bn | 8.94 Bn | 2.56 Bn |
| 7 | Carvana | 70.11 Bn | 61.71 Bn | 1.38 Bn | 680.00 Mn |
| 8 | O Reilly Automotive | 69.29 Bn | 68.38 Bn | 2.52 Bn | 985.75 Mn |
| 9 | Autozone | 45.61 Bn | 44.51 Bn | 2.52 Bn | 923.76 Mn |
| 10 | Abercrombie & Fitch | 5.77 Bn | 3.11 Bn | 900.58 Mn | 252.70 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 252.70 Mn |
| May 2, 2026 | 88.80 Mn |
| Jan 31, 2026 | 235.93 Mn |
| Nov 1, 2025 | 155.02 Mn |
| Aug 2, 2025 | 206.66 Mn |
| May 3, 2025 | 101.53 Mn |
| Feb 1, 2025 | 256.06 Mn |
| Nov 2, 2024 | 179.28 Mn |
| Aug 3, 2024 | 175.63 Mn |
| May 4, 2024 | 129.85 Mn |
| Feb 3, 2024 | 222.80 Mn |
| Oct 28, 2023 | 138.02 Mn |
| Jul 29, 2023 | 89.84 Mn |
| Apr 29, 2023 | 34.01 Mn |
| Jan 28, 2023 | 87.02 Mn |
| Oct 29, 2022 | 17.54 Mn |
| Jul 30, 2022 | -2.19 Mn |
| Apr 30, 2022 | -9.73 Mn |
| Jan 29, 2022 | 98.13 Mn |
| Oct 30, 2021 | 72.73 Mn |
Abercrombie & Fitch Operating Income 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-income&ticker=ANF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-income", "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-income&ticker=ANF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();