Genesco (GCO) Operating Expenses (2010 - 2026)
Genesco (GCO) recorded Operating Expenses of $259.56 million in fiscal Q2 2027 (quarter ended Aug 1, 2026), down 1.8% from $264.27 million a year earlier but up 2.0% from the prior quarter.
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Analysis
Genesco (GCO) Operating Expenses (2010 - 2026) Analysis & Trends
On a TTM basis, Genesco's Operating Expenses came in at $1.1 billion as of Aug 1, 2026, up 1.1% year-over-year; for FY2026 (ended Jan 31, 2026), it came in at $1.1 billion, up 2.0% from FY2025.
- Annual Operating Expenses has a five-year compound annual growth rate of 6.2% (FY2021 to FY2026).
- Across earlier fiscal years, Operating Expenses came in at $1.08 billion in FY2025 (-0.2%), $1.08 billion in FY2024 (+3.8%), $1.04 billion in FY2023 (+0.8%) and $1.03 billion in FY2022 (+27.0%).
- Quarterly Operating Expenses has ranged from $243.48 million in fiscal Q1 2023 to $312.45 million in fiscal Q4 2026 over the past five years.
- On a year-over-year basis, Operating Expenses rose in six of the last eight quarters, with growth averaging 1.3%.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 28.2% in fiscal Q4 2022, against a decline of 2.9% in fiscal Q2 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $254.4 million (Q1 2027), $312.45 million (Q4 2026) and $275.72 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,659.84 Bn | 2,176.54 Bn | 104.83 Bn | 173.15 Bn |
| 2 | Home Depot | 287.59 Bn | 280.83 Bn | 16.12 Bn | 9.28 Bn |
| 3 | Tjx Companies | 147.38 Bn | 124.93 Bn | 5.07 Bn | 3.09 Bn |
| 4 | Lowes Companies | 105.03 Bn | 97.99 Bn | 8.58 Bn | 4.46 Bn |
| 5 | Ross Stores | 74.93 Bn | 57.86 Bn | 2.12 Bn | 1.02 Bn |
| 6 | Target | 71.05 Bn | 65.64 Bn | 8.94 Bn | 5.73 Bn |
| 7 | O Reilly Automotive | 70.25 Bn | 69.33 Bn | 2.52 Bn | 1.53 Bn |
| 8 | Carvana | 69.96 Bn | 61.56 Bn | 1.38 Bn | 704.00 Mn |
| 9 | Autozone | 46.92 Bn | 45.82 Bn | 2.52 Bn | 1.60 Bn |
| 10 | Genesco | 373.51 Mn | 156.82 Mn | 272.12 Mn | 259.56 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 259.56 Mn |
| May 2, 2026 | 254.40 Mn |
| Jan 31, 2026 | 312.45 Mn |
| Nov 1, 2025 | 275.72 Mn |
| Aug 2, 2025 | 264.27 Mn |
| May 3, 2025 | 249.04 Mn |
| Feb 1, 2025 | 301.78 Mn |
| Nov 2, 2024 | 274.91 Mn |
| Aug 3, 2024 | 255.14 Mn |
| May 4, 2024 | 247.83 Mn |
| Feb 3, 2024 | 303.55 Mn |
| Oct 28, 2023 | 267.47 Mn |
| Jul 29, 2023 | 259.52 Mn |
| Apr 29, 2023 | 251.50 Mn |
| Jan 28, 2023 | 285.78 Mn |
| Oct 29, 2022 | 267.73 Mn |
| Jul 30, 2022 | 245.10 Mn |
| Apr 30, 2022 | 243.48 Mn |
| Jan 29, 2022 | 290.48 Mn |
| Oct 30, 2021 | 251.13 Mn |
API Access
Genesco Operating Expenses 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=operating-expenses&ticker=GCO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=GCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();