Caleres (CAL) Selling, General & Administrative (2010 - 2026)
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Analysis
Caleres (CAL) Selling, General & Administrative (2010 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 59.22 Bn | 25.42 Bn | 4.80 Bn | 3.91 Bn |
| 2 | Tapestry | 27.73 Bn | 23.69 Bn | 1.56 Bn | 1.12 Bn |
| 3 | Ralph Lauren | 24.01 Bn | 15.93 Bn | 1.63 Bn | 1.20 Bn |
| 4 | Lululemon Athletica | 12.77 Bn | 7.02 Bn | 1.46 Bn | 1.01 Bn |
| 5 | Deckers Outdoor | 12.28 Bn | 5.48 Bn | 895.11 Mn | 505.66 Mn |
| 6 | Levi Strauss | 9.33 Bn | 5.91 Bn | 1.07 Bn | 835.90 Mn |
| 7 | V F | 8.24 Bn | 4.84 Bn | 1.49 Bn | 1.12 Bn |
| 8 | Crocs | 7.62 Bn | 7.03 Bn | 689.73 Mn | 397.81 Mn |
| 9 | Birkenstock Holding | 7.23 Bn | 5.55 Bn | 493.89 Mn | 37.80 Mn |
| 10 | Caleres | 444.90 Mn | 292.51 Mn | 380.98 Mn | 303.36 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 303.36 Mn |
| May 2, 2026 | 293.73 Mn |
| Jan 31, 2026 | 310.01 Mn |
| Nov 1, 2025 | 311.28 Mn |
| Aug 2, 2025 | 269.75 Mn |
| May 3, 2025 | 266.48 Mn |
| Feb 1, 2025 | 261.66 Mn |
| Nov 2, 2024 | 268.67 Mn |
| Aug 3, 2024 | 268.35 Mn |
| May 4, 2024 | 266.34 Mn |
| Feb 3, 2024 | 272.83 Mn |
| Oct 28, 2023 | 273.65 Mn |
| Jul 29, 2023 | 262.82 Mn |
| Apr 29, 2023 | 253.10 Mn |
| Jan 28, 2023 | 255.32 Mn |
| Oct 29, 2022 | 283.12 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 Selling, General & Administrative 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=selling-general-and-administrative&ticker=CAL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=CAL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();