Abercrombie & Fitch (ANF) Receivables (2010 - 2026)
Abercrombie & Fitch (ANF) reported Receivables of $190.35 million for fiscal Q2 2027 (quarter ended Aug 1, 2026), up 9.4% from $174 million a year earlier and up 30.3% from the prior quarter.
Abercrombie & Fitch (ANF) Receivables (2010 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Abercrombie & Fitch posted Receivables of $146.76 million, up 39.3% from FY2025.
- Receivables has a five-year compound annual growth rate of 11.8% (FY2021 to FY2026).
- By fiscal year, Receivables came in at $105.32 million in FY2025 (+34.4%), $78.35 million in FY2024 (-25.0%), $104.51 million in FY2023 (+51.2%) and $69.1 million in FY2022 (-17.6%).
- The fiscal Q2 2027 figure ranks as the highest quarterly Receivables in data going back to fiscal Q4 2010.
- Year over year, Receivables has now increased in each of the last nine quarters, with growth averaging 27.2% over the last eight quarters.
- The high point for year-over-year Receivables in five years was fiscal Q4 2023 (growth of 51.2%); the low point was fiscal Q4 2024 (a decline of 25.0%).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at $146.04 million (Q1 2027), $146.76 million (Q4 2026) and $131.74 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,834.72 Bn | 2,351.42 Bn | 104.83 Bn | 88.09 Bn |
| 2 | Home Depot | 313.78 Bn | 307.02 Bn | 16.12 Bn | 6.96 Bn |
| 3 | Tjx Companies | 162.33 Bn | 139.88 Bn | 5.07 Bn | 665.00 Mn |
| 4 | Lowes Companies | 111.19 Bn | 104.15 Bn | 8.58 Bn | 1.24 Bn |
| 5 | Ross Stores | 75.47 Bn | 58.40 Bn | 2.12 Bn | 248.14 Mn |
| 6 | O Reilly Automotive | 74.30 Bn | 73.39 Bn | 2.52 Bn | 628.51 Mn |
| 7 | Target | 70.53 Bn | 65.12 Bn | 8.94 Bn | - |
| 8 | Autozone | 52.01 Bn | 50.91 Bn | 2.52 Bn | 764.92 Mn |
| 9 | Carvana | 43.31 Bn | 33.80 Bn | 1.38 Bn | 377.00 Mn |
| 10 | Abercrombie & Fitch | 7.05 Bn | 4.38 Bn | 900.58 Mn | 190.35 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 190.35 Mn |
| May 2, 2026 | 146.04 Mn |
| Jan 31, 2026 | 146.76 Mn |
| Nov 1, 2025 | 131.74 Mn |
| Aug 2, 2025 | 174.00 Mn |
| May 3, 2025 | 113.31 Mn |
| Feb 1, 2025 | 105.32 Mn |
| Nov 2, 2024 | 111.58 Mn |
| Aug 3, 2024 | 115.08 Mn |
| May 4, 2024 | 93.61 Mn |
| Feb 3, 2024 | 78.35 Mn |
| Oct 28, 2023 | 96.76 Mn |
| Jul 29, 2023 | 112.60 Mn |
| Apr 29, 2023 | 106.15 Mn |
| Jan 28, 2023 | 104.51 Mn |
| Oct 29, 2022 | 108.47 Mn |
| Jul 30, 2022 | 79.82 Mn |
| Apr 30, 2022 | 88.81 Mn |
| Jan 29, 2022 | 69.10 Mn |
| Oct 30, 2021 | 83.45 Mn |
Abercrombie & Fitch Receivables 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=receivables&ticker=ANF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=ANF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();