Genesco (GCO) EBITDA (2010 - 2026)
Genesco (GCO) posted EBITDA of $16.8 million for fiscal Q2 2027 (quarter ended Aug 1, 2026), compared with -$966,000 a year earlier.
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Analysis
Genesco (GCO) EBITDA (2010 - 2026) Analysis & Trends
For the trailing twelve months through Aug 1, 2026, EBITDA at Genesco was $101.03 million, up 51.5% year-over-year; for FY2026 (ended Jan 31, 2026), it came in at $70.64 million, up 6.4% from FY2025.
- In prior fiscal years, Genesco's EBITDA was $66.39 million in FY2025 (+84.5%), $35.98 million in FY2024 (-73.6%), $136.06 million in FY2023 (-31.5%) and $198.54 million in FY2022.
- Quarterly EBITDA has run from a low of -$26.79 million in fiscal Q2 2024 to a high of $94.09 million in fiscal Q4 2022 over five years.
- On a year-over-year basis, EBITDA increased in three of the last four quarters, with growth averaging 4.7%.
- The strongest year-over-year quarter for EBITDA in the past five years was fiscal Q3 2022, with growth of 178.5%; the weakest was fiscal Q3 2024, with a decline of 36.9%.
- According to Business Quant data, EBITDA for the three prior fiscal quarters was -$2.13 million (Q1 2027), $64.42 million (Q4 2026) and $21.94 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,659.84 Bn | 2,176.54 Bn | 104.83 Bn | 47.45 Bn |
| 2 | Home Depot | 287.59 Bn | 280.83 Bn | 16.12 Bn | 7.95 Bn |
| 3 | Tjx Companies | 147.38 Bn | 124.93 Bn | 5.07 Bn | 2.33 Bn |
| 4 | Lowes Companies | 105.03 Bn | 97.99 Bn | 8.58 Bn | 4.20 Bn |
| 5 | Ross Stores | 74.93 Bn | 57.86 Bn | 2.12 Bn | 1.24 Bn |
| 6 | Target | 71.05 Bn | 65.64 Bn | 8.94 Bn | 3.34 Bn |
| 7 | O Reilly Automotive | 70.25 Bn | 69.33 Bn | 2.52 Bn | 1.12 Bn |
| 8 | Carvana | 69.96 Bn | 61.56 Bn | 1.38 Bn | 749.00 Mn |
| 9 | Autozone | 46.92 Bn | 45.82 Bn | 2.52 Bn | 1.08 Bn |
| 10 | Genesco | 373.51 Mn | 156.82 Mn | 272.12 Mn | 16.80 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 16.80 Mn |
| May 2, 2026 | -2.13 Mn |
| Jan 31, 2026 | 64.42 Mn |
| Nov 1, 2025 | 21.94 Mn |
| Aug 2, 2025 | -966,000.00 |
| May 3, 2025 | -14.75 Mn |
| Feb 1, 2025 | 59.12 Mn |
| Nov 2, 2024 | 23.26 Mn |
| Aug 3, 2024 | 2.90 Mn |
| May 4, 2024 | -18.89 Mn |
| Feb 3, 2024 | 51.30 Mn |
| Oct 28, 2023 | 23.18 Mn |
| Jul 29, 2023 | -26.79 Mn |
| Apr 29, 2023 | -11.71 Mn |
| Jan 28, 2023 | 60.76 Mn |
| Oct 29, 2022 | 36.75 Mn |
| Jul 30, 2022 | 19.76 Mn |
| Apr 30, 2022 | 18.80 Mn |
| Jan 29, 2022 | 94.09 Mn |
| Oct 30, 2021 | 54.38 Mn |
API Access
Genesco EBITDA 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=ebitda&ticker=GCO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=GCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();