Genesco (GCO) Receivables (2010 - 2026)
Genesco (GCO) posted Receivables of $39.72 million for fiscal Q2 2027 (quarter ended Aug 1, 2026), down 26.9% from $54.32 million a year earlier and down 16.7% from the prior quarter.
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Analysis
Genesco (GCO) Receivables (2010 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Genesco's Receivables came in at $39.83 million, down 18.5% from FY2025.
- Annual Receivables shows a five-year compound annual growth rate of 4.9% (FY2021 to FY2026).
- In prior fiscal years, Genesco's Receivables was $48.87 million in FY2025 (-8.9%), $53.62 million in FY2024 (+31.4%), $40.82 million in FY2023 (+3.3%) and $39.51 million in FY2022 (+25.8%).
- The fiscal Q2 2027 figure stands as the lowest quarterly Receivables since fiscal Q4 2022.
- On a year-over-year basis, Receivables has declined in each of the last three quarters, with an average decline of 8.2% over the last eight quarters.
- The strongest year-over-year quarter for Receivables in the past five years was fiscal Q2 2023, with growth of 34.2%; the weakest was fiscal Q2 2027, with a decline of 26.9%.
- According to Business Quant data, Receivables for the three prior fiscal quarters was $47.69 million (Q1 2027), $39.83 million (Q4 2026) and $55.83 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,659.84 Bn | 2,176.54 Bn | 104.83 Bn | 88.09 Bn |
| 2 | Home Depot | 287.59 Bn | 280.83 Bn | 16.12 Bn | 6.96 Bn |
| 3 | Tjx Companies | 147.38 Bn | 124.93 Bn | 5.07 Bn | 665.00 Mn |
| 4 | Lowes Companies | 105.03 Bn | 97.99 Bn | 8.58 Bn | 1.24 Bn |
| 5 | Ross Stores | 74.93 Bn | 57.86 Bn | 2.12 Bn | 248.14 Mn |
| 6 | Target | 71.05 Bn | 65.64 Bn | 8.94 Bn | - |
| 7 | O Reilly Automotive | 70.25 Bn | 69.33 Bn | 2.52 Bn | 628.51 Mn |
| 8 | Carvana | 69.96 Bn | 61.56 Bn | 1.38 Bn | 377.00 Mn |
| 9 | Autozone | 46.92 Bn | 45.82 Bn | 2.52 Bn | 764.92 Mn |
| 10 | Genesco | 373.51 Mn | 156.82 Mn | 272.12 Mn | 39.72 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 39.72 Mn |
| May 2, 2026 | 47.69 Mn |
| Jan 31, 2026 | 39.83 Mn |
| Nov 1, 2025 | 55.83 Mn |
| Aug 2, 2025 | 54.32 Mn |
| May 3, 2025 | 52.82 Mn |
| Feb 1, 2025 | 48.87 Mn |
| Nov 2, 2024 | 52.37 Mn |
| Aug 3, 2024 | 57.50 Mn |
| May 4, 2024 | 50.12 Mn |
| Feb 3, 2024 | 53.62 Mn |
| Oct 28, 2023 | 56.93 Mn |
| Jul 29, 2023 | 50.35 Mn |
| Apr 29, 2023 | 54.07 Mn |
| Jan 28, 2023 | 40.82 Mn |
| Oct 29, 2022 | 48.67 Mn |
| Jul 30, 2022 | 42.78 Mn |
| Apr 30, 2022 | 48.87 Mn |
| Jan 29, 2022 | 39.51 Mn |
| Oct 30, 2021 | 36.99 Mn |
API Access
Genesco 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=GCO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "ticker": "GCO", "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=GCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();