Abercrombie & Fitch (ANF) Payables (2010 - 2026)
Abercrombie & Fitch (ANF) recorded Payables of $354.21 million in fiscal Q2 2027 (quarter ended Aug 1, 2026), down 3.8% from $368.05 million a year earlier but up 37.3% from the prior quarter.
Abercrombie & Fitch (ANF) Payables (2010 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Abercrombie & Fitch reported Payables of $377.47 million, up 3.5% from FY2025.
- Annual Payables has increased for three straight fiscal years, with a five-year compound annual growth rate of 5.5% (FY2021 to FY2026).
- Across earlier fiscal years, Payables came in at $364.53 million in FY2025 (+22.7%), $296.98 million in FY2024 (+14.7%), $258.9 million in FY2023 (-30.9%) and $374.83 million in FY2022 (+29.5%).
- Quarterly Payables has ranged from $221.59 million in fiscal Q1 2024 to $466.3 million in fiscal Q3 2025 over the past five years.
- On a year-over-year basis, Payables rose in four of the last eight quarters, with growth averaging 4.3%.
- Peak year-over-year performance for Payables in the last five years was growth of 41.0% in fiscal Q2 2023, against a decline of 30.9% in fiscal Q4 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $257.95 million (Q1 2027), $377.47 million (Q4 2026) and $461.53 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,826.22 Bn | 2,342.91 Bn | 104.83 Bn | 147.44 Bn |
| 2 | Home Depot | 312.87 Bn | 306.11 Bn | 16.12 Bn | 17.83 Bn |
| 3 | Tjx Companies | 162.20 Bn | 139.75 Bn | 5.07 Bn | 5.02 Bn |
| 4 | Lowes Companies | 110.98 Bn | 103.94 Bn | 8.58 Bn | 11.08 Bn |
| 5 | Ross Stores | 75.30 Bn | 58.23 Bn | 2.12 Bn | 2.62 Bn |
| 6 | O Reilly Automotive | 74.25 Bn | 73.33 Bn | 2.52 Bn | 7.38 Bn |
| 7 | Target | 70.03 Bn | 64.62 Bn | 8.94 Bn | 13.31 Bn |
| 8 | Autozone | 52.03 Bn | 50.93 Bn | 2.52 Bn | 8.40 Bn |
| 9 | Carvana | 43.27 Bn | 33.76 Bn | 1.38 Bn | 1.72 Bn |
| 10 | Abercrombie & Fitch | 7.07 Bn | 4.40 Bn | 900.58 Mn | 354.21 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 354.21 Mn |
| May 2, 2026 | 257.95 Mn |
| Jan 31, 2026 | 377.47 Mn |
| Nov 1, 2025 | 461.53 Mn |
| Aug 2, 2025 | 368.05 Mn |
| May 3, 2025 | 296.74 Mn |
| Feb 1, 2025 | 364.53 Mn |
| Nov 2, 2024 | 466.30 Mn |
| Aug 3, 2024 | 406.76 Mn |
| May 4, 2024 | 266.93 Mn |
| Feb 3, 2024 | 296.98 Mn |
| Oct 28, 2023 | 373.93 Mn |
| Jul 29, 2023 | 323.20 Mn |
| Apr 29, 2023 | 221.59 Mn |
| Jan 28, 2023 | 258.90 Mn |
| Oct 29, 2022 | 322.13 Mn |
| Jul 30, 2022 | 408.30 Mn |
| Apr 30, 2022 | 311.35 Mn |
| Jan 29, 2022 | 374.83 Mn |
| Oct 30, 2021 | 424.56 Mn |
Abercrombie & Fitch Payables 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=payables&ticker=ANF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "payables", "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=payables&ticker=ANF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();