Caleres (CAL) Operating Expenses (2010 - 2026)
Caleres' Operating Expenses was $303.36 million in fiscal Q2 2027 (quarter ended Aug 1, 2026), up 9.7% from $276.5 million a year earlier and up 4.0% from the prior quarter.
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Analysis
Caleres (CAL) Operating Expenses (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Caleres' Operating Expenses was $1.23 billion through Aug 1, 2026, up 13.7% year-over-year; for FY2026 (ended Jan 31, 2026), it was $1.18 billion, up 9.9% from FY2025.
- Operating Expenses shows a five-year compound annual growth rate of 3.6% (FY2021 to FY2026).
- In earlier fiscal years, Operating Expenses was $1.07 billion in FY2025 (+0.3%), $1.07 billion in FY2024 (-0.2%), $1.07 billion in FY2023 (+4.8%) and $1.02 billion in FY2022 (+3.6%).
- Quarterly Operating Expenses has moved between $250.96 million (fiscal Q4 2022) and $317.98 million (fiscal Q3 2026) over five years.
- Compared with a year earlier, Operating Expenses has increased for six straight quarters, with growth averaging 6.7% over the last eight quarters.
- The best year-over-year quarter for Operating Expenses over five years was fiscal Q4 2026 (growth of 18.6%); the worst was fiscal Q3 2024 (a decline of 3.5%).
- Per Business Quant data, CAL's Operating Expenses in the three fiscal quarters before Q2 2027 was $291.6 million (Q1 2027), $316.81 million (Q4 2026) and $317.98 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 53.94 Bn | 19.93 Bn | 5.39 Bn | 4.08 Bn |
| 2 | Tapestry | 22.74 Bn | 18.69 Bn | 1.56 Bn | 1.12 Bn |
| 3 | Ralph Lauren | 21.47 Bn | 13.57 Bn | 1.44 Bn | 1.10 Bn |
| 4 | Deckers Outdoor | 11.15 Bn | 4.02 Bn | - | - |
| 5 | Lululemon Athletica | 10.72 Bn | 4.97 Bn | 1.46 Bn | 1.01 Bn |
| 6 | Levi Strauss | 7.64 Bn | 4.29 Bn | 979.10 Mn | 856.90 Mn |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | 283.86 Mn |
| 8 | Birkenstock Holding | 6.06 Bn | 4.37 Bn | 493.89 Mn | -37.80 Mn |
| 9 | Crocs | 5.89 Bn | 5.30 Bn | 700.71 Mn | 415.03 Mn |
| 10 | Caleres | 433.04 Mn | 288.91 Mn | 380.98 Mn | 303.36 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 303.36 Mn |
| May 2, 2026 | 291.60 Mn |
| Jan 31, 2026 | 316.81 Mn |
| Nov 1, 2025 | 317.98 Mn |
| Aug 2, 2025 | 276.50 Mn |
| May 3, 2025 | 267.11 Mn |
| Feb 1, 2025 | 267.24 Mn |
| Nov 2, 2024 | 270.26 Mn |
| Aug 3, 2024 | 268.35 Mn |
| May 4, 2024 | 266.34 Mn |
| Feb 3, 2024 | 274.98 Mn |
| Oct 28, 2023 | 275.96 Mn |
| Jul 29, 2023 | 264.47 Mn |
| Apr 29, 2023 | 253.10 Mn |
| Jan 28, 2023 | 255.32 Mn |
| Oct 29, 2022 | 286.03 Mn |
| Jul 30, 2022 | 268.40 Mn |
| Apr 30, 2022 | 260.80 Mn |
| Jan 29, 2022 | 250.96 Mn |
| Oct 30, 2021 | 254.03 Mn |
API Access
Caleres 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=CAL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "CAL", "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=CAL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();