Destination Xl (DXLG) Selling, General & Administrative (2010 - 2026)
Destination Xl (DXLG) reported Selling, General & Administrative of $45.73 million for fiscal Q2 2027 (quarter ended Aug 1, 2026), down 3.7% from $47.51 million a year earlier and down 1.6% from the prior quarter.
Destination Xl (DXLG) Selling, General & Administrative (2010 - 2026) Analysis & Trends
Over the twelve months ended Aug 1, 2026, Destination Xl's Selling, General & Administrative came in at $184.54 million, down 3.9% year-over-year; for FY2026 (ended Jan 31, 2026), it came in at $187.38 million, down 5.5% from FY2025.
- Selling, General & Administrative has a five-year compound annual growth rate of 7.7% (FY2021 to FY2026).
- By fiscal year, Selling, General & Administrative came in at $198.28 million in FY2025 (+0.9%), $196.53 million in FY2024 (-1.1%), $198.79 million in FY2023 (+14.9%) and $172.96 million in FY2022 (+34.0%).
- Five-year quarterly Selling, General & Administrative spans a low of $41.96 million in fiscal Q3 2022 and a high of $54.35 million in fiscal Q4 2023.
- Year over year, Selling, General & Administrative has now declined in each of the last eight quarters, with an average decline of 4.3% over the last eight quarters.
- The high point for year-over-year Selling, General & Administrative in five years was fiscal Q4 2022 (growth of 35.9%); the low point was fiscal Q2 2026 (a decline of 11.5%).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at $46.48 million (Q1 2027), $46.84 million (Q4 2026) and $45.49 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,712.14 Bn | 2,228.84 Bn | 104.83 Bn | 2.79 Bn |
| 2 | Home Depot | 282.27 Bn | 275.52 Bn | 16.12 Bn | 8.42 Bn |
| 3 | Tjx Companies | 146.16 Bn | 123.70 Bn | 5.07 Bn | 3.09 Bn |
| 4 | Lowes Companies | 101.42 Bn | 94.39 Bn | 8.58 Bn | 4.46 Bn |
| 5 | Ross Stores | 73.06 Bn | 55.98 Bn | 2.12 Bn | 1.02 Bn |
| 6 | Target | 70.86 Bn | 65.45 Bn | 8.94 Bn | 5.73 Bn |
| 7 | Carvana | 70.11 Bn | 61.71 Bn | 1.38 Bn | 704.00 Mn |
| 8 | O Reilly Automotive | 69.29 Bn | 68.38 Bn | 2.52 Bn | 1.53 Bn |
| 9 | Autozone | 45.61 Bn | 44.51 Bn | 2.52 Bn | 1.60 Bn |
| 10 | Destination Xl | 23.85 Mn | -68.29 Mn | 53.41 Mn | 45.73 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 45.73 Mn |
| May 2, 2026 | 46.48 Mn |
| Jan 31, 2026 | 46.84 Mn |
| Nov 1, 2025 | 45.49 Mn |
| Aug 2, 2025 | 47.51 Mn |
| May 3, 2025 | 47.38 Mn |
| Feb 1, 2025 | 49.69 Mn |
| Nov 2, 2024 | 47.41 Mn |
| Aug 3, 2024 | 53.66 Mn |
| May 4, 2024 | 47.52 Mn |
| Feb 3, 2024 | 52.84 Mn |
| Oct 28, 2023 | 47.96 Mn |
| Jul 29, 2023 | 47.45 Mn |
| Apr 29, 2023 | 48.28 Mn |
| Jan 28, 2023 | 54.35 Mn |
| Oct 29, 2022 | 48.38 Mn |
| Jul 30, 2022 | 49.46 Mn |
| Apr 30, 2022 | 46.60 Mn |
| Jan 29, 2022 | 52.11 Mn |
| Oct 30, 2021 | 41.96 Mn |
Destination Xl 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=DXLG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "ticker": "DXLG", "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=DXLG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();