Duluth Holdings (DLTH) Selling, General & Administrative (2014 - 2026)
Duluth Holdings' Selling, General & Administrative came in at $69.52 million for fiscal Q2 2027 (quarter ended Aug 2, 2026), up 1.1% from $68.77 million a year earlier and up 12.5% from the prior quarter.
Duluth Holdings (DLTH) Selling, General & Administrative (2014 - 2026) Analysis & Trends
Over the trailing twelve months to Aug 2, 2026, Duluth Holdings reported Selling, General & Administrative of $307.39 million, down 6.0% year-over-year; for FY2026 (ended Feb 1, 2026), it was $310.55 million, down 8.0% from FY2025.
- Selling, General & Administrative carries a five-year compound annual growth rate of 0.2% (FY2021 to FY2026).
- Going back by fiscal year, Selling, General & Administrative was $337.62 million in FY2025 (+0.9%), $334.54 million in FY2024 (-0.8%), $337.2 million in FY2023 (+1.2%) and $333.23 million in FY2022 (+8.4%).
- The five-year range for quarterly Selling, General & Administrative is $61.8 million (fiscal Q1 2027) to $121.45 million (fiscal Q4 2022).
- Year-over-year, Selling, General & Administrative increased in three of the last eight quarters, with an average decline of 4.5%.
- The fastest year-over-year change in Selling, General & Administrative over five years came in fiscal Q3 2022 (growth of 15.5%), and the weakest in fiscal Q3 2026 (a decline of 14.1%).
- Business Quant data shows DLTH's Selling, General & Administrative at $61.8 million (Q1 2027), $105.39 million (Q4 2026) and $70.68 million (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 52.05 Bn | 18.05 Bn | 5.39 Bn | 4.08 Bn |
| 2 | Tapestry | 23.90 Bn | 19.86 Bn | 1.56 Bn | 1.12 Bn |
| 3 | Ralph Lauren | 21.81 Bn | 13.91 Bn | 1.44 Bn | 1.08 Bn |
| 4 | Deckers Outdoor | 11.33 Bn | 4.20 Bn | - | - |
| 5 | Lululemon Athletica | 10.22 Bn | 4.47 Bn | 1.46 Bn | 1.01 Bn |
| 6 | Levi Strauss | 7.69 Bn | 4.35 Bn | 979.10 Mn | 843.40 Mn |
| 7 | Gildan Activewear | 6.41 Bn | 5.41 Bn | 459.76 Mn | 193.84 Mn |
| 8 | Birkenstock Holding | 6.07 Bn | 4.37 Bn | 493.89 Mn | -37.80 Mn |
| 9 | Crocs | 5.74 Bn | 5.15 Bn | 700.71 Mn | 415.03 Mn |
| 10 | Duluth Holdings | 136.47 Mn | 76.26 Mn | 88.36 Mn | 69.52 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 2, 2026 | 69.52 Mn |
| May 3, 2026 | 61.80 Mn |
| Feb 1, 2026 | 105.39 Mn |
| Nov 2, 2025 | 70.68 Mn |
| Aug 3, 2025 | 68.77 Mn |
| May 4, 2025 | 65.16 Mn |
| Feb 2, 2025 | 110.72 Mn |
| Oct 27, 2024 | 82.31 Mn |
| Jul 28, 2024 | 74.00 Mn |
| Apr 28, 2024 | 70.60 Mn |
| Jan 28, 2024 | 109.58 Mn |
| Oct 29, 2023 | 81.83 Mn |
| Jul 30, 2023 | 72.93 Mn |
| Apr 30, 2023 | 70.20 Mn |
| Jan 29, 2023 | 113.16 Mn |
| Oct 30, 2022 | 84.31 Mn |
| Jul 31, 2022 | 71.74 Mn |
| May 1, 2022 | 67.99 Mn |
| Jan 30, 2022 | 121.45 Mn |
| Oct 31, 2021 | 78.79 Mn |
Duluth Holdings 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=DLTH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "ticker": "DLTH", "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=DLTH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();