Destination Xl (DXLG) Enterprise Value (2010 - 2026)
Destination Xl (DXLG) recorded Enterprise Value of $10.94 million in fiscal Q2 2027 (quarter ended Aug 1, 2026), down 68.1% from $34.35 million a year earlier and down 39.5% from the prior quarter.
Destination Xl (DXLG) Enterprise Value (2010 - 2026) Analysis & Trends
On a TTM basis, Destination Xl's Enterprise Value came in at -$61.09 million as of Aug 1, 2026; for FY2026 (ended Jan 31, 2026), it came in at $8.44 million, down 91.3% from FY2025.
- Annual Enterprise Value has declined for three straight fiscal years, with a five-year compound annual growth rate of -17.5% (FY2021 to FY2026).
- Across earlier fiscal years, Enterprise Value came in at $97.17 million in FY2025 (-46.4%), $181.19 million in FY2024 (-55.7%), $408.81 million in FY2023 (+55.5%) and $262.92 million in FY2022.
- Quarterly Enterprise Value has ranged from $8.44 million in fiscal Q4 2026 to $442.8 million in fiscal Q3 2022 over the past five years.
- On a year-over-year basis, Enterprise Value has declined for 12 consecutive quarters, with an average decline of 64.8% over the last eight quarters.
- Peak year-over-year performance for Enterprise Value in the last five years was growth of 234.3% in fiscal Q1 2023, against a decline of 91.3% in fiscal Q4 2026 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $18.09 million (Q1 2027), $8.44 million (Q4 2026) and $27.64 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn |
| 10 | Destination Xl | 24.40 Mn | -67.74 Mn | 53.41 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 10.94 Mn |
| May 2, 2026 | 18.09 Mn |
| Jan 31, 2026 | 8.44 Mn |
| Nov 1, 2025 | 27.64 Mn |
| Aug 2, 2025 | 34.35 Mn |
| May 3, 2025 | 33.88 Mn |
| Feb 1, 2025 | 97.17 Mn |
| Nov 2, 2024 | 103.13 Mn |
| Aug 3, 2024 | 133.12 Mn |
| May 4, 2024 | 135.44 Mn |
| Feb 3, 2024 | 181.19 Mn |
| Oct 28, 2023 | 182.18 Mn |
| Jul 29, 2023 | 250.64 Mn |
| Apr 29, 2023 | 230.11 Mn |
| Jan 28, 2023 | 408.81 Mn |
| Oct 29, 2022 | 398.18 Mn |
| Jul 30, 2022 | 233.49 Mn |
| Apr 30, 2022 | 307.51 Mn |
| Jan 29, 2022 | 262.92 Mn |
| Oct 30, 2021 | 442.80 Mn |
Destination Xl Enterprise Value 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=enterprise-value&ticker=DXLG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=DXLG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();