Abercrombie & Fitch (ANF) Total Liabilities (2010 - 2026)
Abercrombie & Fitch's Total Liabilities was $2.23 billion in fiscal Q2 2027 (quarter ended Aug 1, 2026), up 11.6% from $1.99 billion a year earlier and up 6.0% from the prior quarter.
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Analysis
Abercrombie & Fitch (ANF) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Total Liabilities at Abercrombie & Fitch came in at $2.12 billion, up 8.9% from FY2025.
- Total Liabilities shows a five-year compound annual growth rate of -2.2% (FY2021 to FY2026).
- In earlier fiscal years, Total Liabilities was $1.95 billion in FY2025 (+1.3%), $1.92 billion in FY2024 (-4.1%), $2.01 billion in FY2023 (-4.5%) and $2.1 billion in FY2022 (-11.1%).
- The fiscal Q2 2027 figure marks the highest quarterly Total Liabilities since fiscal Q4 2021.
- Compared with a year earlier, Total Liabilities has increased for seven straight quarters, with growth averaging 6.1% over the last eight quarters.
- The best year-over-year quarter for Total Liabilities over five years was fiscal Q2 2027 (growth of 11.6%); the worst was fiscal Q4 2022 (a decline of 11.1%).
- Per Business Quant data, ANF's Total Liabilities in the three fiscal quarters before Q2 2027 was $2.1 billion (Q1 2027), $2.12 billion (Q4 2026) and $2.15 billion (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,832.14 Bn | 2,348.84 Bn | 104.83 Bn | 544.07 Bn |
| 2 | Home Depot | 313.79 Bn | 307.03 Bn | 16.12 Bn | 92.77 Bn |
| 3 | Tjx Companies | 161.93 Bn | 139.48 Bn | 5.07 Bn | 26.46 Bn |
| 4 | Lowes Companies | 111.28 Bn | 104.25 Bn | 8.58 Bn | 63.32 Bn |
| 5 | Ross Stores | 75.44 Bn | 58.36 Bn | 2.12 Bn | 9.24 Bn |
| 6 | O Reilly Automotive | 74.28 Bn | 73.36 Bn | 2.52 Bn | 19.22 Bn |
| 7 | Target | 70.28 Bn | 64.87 Bn | 8.94 Bn | 43.39 Bn |
| 8 | Autozone | 52.05 Bn | 50.95 Bn | 2.52 Bn | 23.70 Bn |
| 9 | Carvana | 43.21 Bn | 33.70 Bn | 1.38 Bn | 9.41 Bn |
| 10 | Abercrombie & Fitch | 7.07 Bn | 4.40 Bn | 900.58 Mn | 2.23 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 2.23 Bn |
| May 2, 2026 | 2.10 Bn |
| Jan 31, 2026 | 2.12 Bn |
| Nov 1, 2025 | 2.15 Bn |
| Aug 2, 2025 | 1.99 Bn |
| May 3, 2025 | 1.89 Bn |
| Feb 1, 2025 | 1.95 Bn |
| Nov 2, 2024 | 2.01 Bn |
| Aug 3, 2024 | 1.83 Bn |
| May 4, 2024 | 1.88 Bn |
| Feb 3, 2024 | 1.92 Bn |
| Oct 28, 2023 | 2.02 Bn |
| Jul 29, 2023 | 2.02 Bn |
| Apr 29, 2023 | 1.85 Bn |
| Jan 28, 2023 | 2.01 Bn |
| Oct 29, 2022 | 2.04 Bn |
| Jul 30, 2022 | 2.06 Bn |
| Apr 30, 2022 | 1.90 Bn |
| Jan 29, 2022 | 2.10 Bn |
| Oct 30, 2021 | 2.19 Bn |
API Access
Abercrombie & Fitch Total 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-liabilities&ticker=ANF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=ANF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();