Abercrombie & Fitch (ANF) Other Non-Current Liabilities (2010 - 2026)
Abercrombie & Fitch (ANF) posted Other Non-Current Liabilities of $101.31 million for fiscal Q2 2027 (quarter ended Aug 1, 2026), up 26.3% from $80.24 million a year earlier and up 10.4% from the prior quarter.
Abercrombie & Fitch (ANF) Other Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Abercrombie & Fitch's Other Non-Current Liabilities came in at $88.63 million, up 8.6% from FY2025.
- Annual Other Non-Current Liabilities shows a five-year compound annual growth rate of -3.3% (FY2021 to FY2026).
- In prior fiscal years, Abercrombie & Fitch's Other Non-Current Liabilities was $81.61 million in FY2025 (-8.0%), $88.68 million in FY2024 (-5.8%), $94.12 million in FY2023 (+9.3%) and $86.09 million in FY2022 (-17.8%).
- The fiscal Q2 2027 figure stands as the highest quarterly Other Non-Current Liabilities since fiscal Q2 2022.
- On a year-over-year basis, Other Non-Current Liabilities has increased in each of the last three quarters, with growth averaging 1.7% over the last eight quarters.
- The strongest year-over-year quarter for Other Non-Current Liabilities in the past five years was fiscal Q2 2027, with growth of 26.3%; the weakest was fiscal Q1 2023, with a decline of 27.6%.
- According to Business Quant data, Other Non-Current Liabilities for the three prior fiscal quarters was $91.79 million (Q1 2027), $88.63 million (Q4 2026) and $80.46 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,828.15 Bn | 2,344.85 Bn | 104.83 Bn |
| 2 | Home Depot | 312.02 Bn | 305.26 Bn | 16.12 Bn |
| 3 | Tjx Companies | 160.78 Bn | 138.32 Bn | 5.07 Bn |
| 4 | Lowes Companies | 109.83 Bn | 102.79 Bn | 8.58 Bn |
| 5 | Ross Stores | 74.49 Bn | 57.42 Bn | 2.12 Bn |
| 6 | O Reilly Automotive | 73.51 Bn | 72.60 Bn | 2.52 Bn |
| 7 | Target | 69.38 Bn | 63.97 Bn | 8.94 Bn |
| 8 | Autozone | 52.02 Bn | 50.92 Bn | 2.52 Bn |
| 9 | Carvana | 42.62 Bn | 33.11 Bn | 1.38 Bn |
| 10 | Abercrombie & Fitch | 7.01 Bn | 4.34 Bn | 900.58 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 101.31 Mn |
| May 2, 2026 | 91.79 Mn |
| Jan 31, 2026 | 88.63 Mn |
| Nov 1, 2025 | 80.46 Mn |
| Aug 2, 2025 | 80.24 Mn |
| May 3, 2025 | 84.32 Mn |
| Feb 1, 2025 | 81.61 Mn |
| Nov 2, 2024 | 92.41 Mn |
| Aug 3, 2024 | 88.75 Mn |
| May 4, 2024 | 89.25 Mn |
| Feb 3, 2024 | 88.68 Mn |
| Oct 28, 2023 | 87.44 Mn |
| Jul 29, 2023 | 92.02 Mn |
| Apr 29, 2023 | 97.48 Mn |
| Jan 28, 2023 | 94.12 Mn |
| Oct 29, 2022 | 97.39 Mn |
| Jul 30, 2022 | 83.42 Mn |
| Apr 30, 2022 | 83.24 Mn |
| Jan 29, 2022 | 86.09 Mn |
| Oct 30, 2021 | 97.19 Mn |
Abercrombie & Fitch Other Non-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=other-non-current-liabilities&ticker=ANF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-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=other-non-current-liabilities&ticker=ANF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();