Genesco (GCO) Total Liabilities (2010 - 2026)
Genesco's Total Liabilities was $947.26 million in fiscal Q2 2027 (quarter ended Aug 1, 2026), up 3.5% from $915.55 million a year earlier and up 13.9% from the prior quarter.
Genesco (GCO) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Total Liabilities at Genesco came in at $825.93 million, up 4.7% from FY2025.
- Total Liabilities shows a five-year compound annual growth rate of -4.1% (FY2021 to FY2026).
- In earlier fiscal years, Total Liabilities was $788.57 million in FY2025 (+3.9%), $758.69 million in FY2024 (-10.7%), $849.46 million in FY2023 (-11.5%) and $959.63 million in FY2022 (-6.0%).
- Quarterly Total Liabilities has moved between $758.69 million (fiscal Q4 2024) and $1.02 billion (fiscal Q3 2022) over five years.
- Compared with a year earlier, Total Liabilities was higher in six of the last eight quarters, with growth averaging 3.8%.
- The best year-over-year quarter for Total Liabilities over five years was fiscal Q1 2026 (growth of 16.3%); the worst was fiscal Q1 2025 (a decline of 16.8%).
- Per Business Quant data, GCO's Total Liabilities in the three fiscal quarters before Q2 2027 was $831.59 million (Q1 2027), $825.93 million (Q4 2026) and $958.33 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,659.84 Bn | 2,176.54 Bn | 104.83 Bn | 544.07 Bn |
| 2 | Home Depot | 287.59 Bn | 280.83 Bn | 16.12 Bn | 92.77 Bn |
| 3 | Tjx Companies | 147.38 Bn | 124.93 Bn | 5.07 Bn | 26.46 Bn |
| 4 | Lowes Companies | 105.03 Bn | 97.99 Bn | 8.58 Bn | 63.32 Bn |
| 5 | Ross Stores | 74.93 Bn | 57.86 Bn | 2.12 Bn | 9.24 Bn |
| 6 | Target | 71.05 Bn | 65.64 Bn | 8.94 Bn | 43.39 Bn |
| 7 | O Reilly Automotive | 70.25 Bn | 69.33 Bn | 2.52 Bn | 19.22 Bn |
| 8 | Carvana | 69.96 Bn | 61.56 Bn | 1.38 Bn | 9.41 Bn |
| 9 | Autozone | 46.92 Bn | 45.82 Bn | 2.52 Bn | 23.70 Bn |
| 10 | Genesco | 373.51 Mn | 156.82 Mn | 272.12 Mn | 947.26 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 947.26 Mn |
| May 2, 2026 | 831.59 Mn |
| Jan 31, 2026 | 825.93 Mn |
| Nov 1, 2025 | 958.33 Mn |
| Aug 2, 2025 | 915.55 Mn |
| May 3, 2025 | 882.36 Mn |
| Feb 1, 2025 | 788.57 Mn |
| Nov 2, 2024 | 918.62 Mn |
| Aug 3, 2024 | 851.13 Mn |
| May 4, 2024 | 758.96 Mn |
| Feb 3, 2024 | 758.69 Mn |
| Oct 28, 2023 | 955.97 Mn |
| Jul 29, 2023 | 961.74 Mn |
| Apr 29, 2023 | 912.69 Mn |
| Jan 28, 2023 | 849.46 Mn |
| Oct 29, 2022 | 977.65 Mn |
| Jul 30, 2022 | 939.19 Mn |
| Apr 30, 2022 | 948.10 Mn |
| Jan 29, 2022 | 959.63 Mn |
| Oct 30, 2021 | 1.02 Bn |
Genesco 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=GCO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=GCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();