Abercrombie & Fitch (ANF) Total Current Liabilities (2010 - 2026)
Abercrombie & Fitch's Total Current Liabilities came in at $1.1 billion for fiscal Q2 2027 (quarter ended Aug 1, 2026), up 5.9% from $1.04 billion a year earlier and up 12.5% from the prior quarter.
Abercrombie & Fitch (ANF) Total Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Abercrombie & Fitch's Total Current Liabilities was $1.11 billion, down 1.9% from FY2025.
- Total Current Liabilities carries a five-year compound annual growth rate of 2.9% (FY2021 to FY2026).
- Going back by fiscal year, Total Current Liabilities was $1.13 billion in FY2025 (+16.6%), $966.82 million in FY2024 (+7.2%), $902.2 million in FY2023 (-11.1%) and $1.02 billion in FY2022 (+5.8%).
- The five-year range for quarterly Total Current Liabilities is $769.46 million (fiscal Q1 2024) to $1.18 billion (fiscal Q3 2025).
- Year-over-year, Total Current Liabilities increased in four of the last eight quarters, with growth averaging 4.9%.
- The fastest year-over-year change in Total Current Liabilities over five years came in fiscal Q1 2025 (growth of 19.5%), and the weakest in fiscal Q4 2023 (a decline of 11.1%).
- Business Quant data shows ANF's Total Current Liabilities at $977.12 million (Q1 2027), $1.11 billion (Q4 2026) and $1.16 billion (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,824.12 Bn | 2,340.81 Bn | 104.83 Bn | 241.27 Bn |
| 2 | Home Depot | 313.17 Bn | 306.42 Bn | 16.12 Bn | 34.99 Bn |
| 3 | Tjx Companies | 162.07 Bn | 139.61 Bn | 5.07 Bn | 13.36 Bn |
| 4 | Lowes Companies | 111.15 Bn | 104.12 Bn | 8.58 Bn | 21.13 Bn |
| 5 | Ross Stores | 75.20 Bn | 58.13 Bn | 2.12 Bn | 4.89 Bn |
| 6 | O Reilly Automotive | 74.11 Bn | 73.20 Bn | 2.52 Bn | 9.57 Bn |
| 7 | Target | 69.98 Bn | 64.57 Bn | 8.94 Bn | 21.18 Bn |
| 8 | Autozone | 51.92 Bn | 50.82 Bn | 2.52 Bn | 10.04 Bn |
| 9 | Carvana | 43.35 Bn | 33.84 Bn | 1.38 Bn | 2.04 Bn |
| 10 | Abercrombie & Fitch | 7.09 Bn | 4.42 Bn | 900.58 Mn | 1.10 Bn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 1.10 Bn |
| May 2, 2026 | 977.12 Mn |
| Jan 31, 2026 | 1.11 Bn |
| Nov 1, 2025 | 1.16 Bn |
| Aug 2, 2025 | 1.04 Bn |
| May 3, 2025 | 998.87 Mn |
| Feb 1, 2025 | 1.13 Bn |
| Nov 2, 2024 | 1.18 Bn |
| Aug 3, 2024 | 1.05 Bn |
| May 4, 2024 | 919.70 Mn |
| Feb 3, 2024 | 966.82 Mn |
| Oct 28, 2023 | 1.03 Bn |
| Jul 29, 2023 | 936.48 Mn |
| Apr 29, 2023 | 769.46 Mn |
| Jan 28, 2023 | 902.20 Mn |
| Oct 29, 2022 | 935.49 Mn |
| Jul 30, 2022 | 959.27 Mn |
| Apr 30, 2022 | 853.03 Mn |
| Jan 29, 2022 | 1.02 Bn |
| Oct 30, 2021 | 1.03 Bn |
Abercrombie & Fitch Total Current Liabilities 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=total-current-liabilities&ticker=ANF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "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=total-current-liabilities&ticker=ANF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();