Tilly'S (TLYS) EV to EBITDA (2012 - 2026)
Tilly'S's (TLYS) EV to EBITDA was 5.23 for fiscal Q2 2027 (quarter ended Aug 1, 2026), down 69.9% from the prior quarter.
Tilly'S (TLYS) EV to EBITDA (2012 - 2026) Analysis & Trends
Over the twelve months ended Aug 1, 2026, Tilly'S's EV to EBITDA came in at -7.23; for FY2023 (ended Jan 28, 2023), it came in at 5.87, up 145.2% from FY2022.
- By fiscal year, EV to EBITDA came in at 2.39 in FY2022 (-74.4%), 9.36 in FY2021 (+316.1%), 2.25 in FY2020 (-46.8%) and 4.23 in FY2019 (-27.2%).
- The fiscal Q2 2027 figure ranks as the lowest quarterly EV to EBITDA since fiscal Q3 2023.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,659.84 Bn | 2,176.54 Bn | 104.83 Bn |
| 2 | Home Depot | 287.59 Bn | 280.83 Bn | 16.12 Bn |
| 3 | Tjx Companies | 147.38 Bn | 124.93 Bn | 5.07 Bn |
| 4 | Lowes Companies | 105.03 Bn | 97.99 Bn | 8.58 Bn |
| 5 | Ross Stores | 74.93 Bn | 57.86 Bn | 2.12 Bn |
| 6 | Target | 71.05 Bn | 65.64 Bn | 8.94 Bn |
| 7 | O Reilly Automotive | 70.25 Bn | 69.33 Bn | 2.52 Bn |
| 8 | Carvana | 69.96 Bn | 61.56 Bn | 1.38 Bn |
| 9 | Autozone | 46.92 Bn | 45.82 Bn | 2.52 Bn |
| 10 | Tilly'S | 144.91 Mn | -43.76 Mn | 58.10 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 5.23 |
| May 2, 2026 | 17.36 |
| Apr 29, 2023 | 19.59 |
| Jan 28, 2023 | 5.87 |
| Oct 29, 2022 | 3.60 |
| Jul 30, 2022 | 1.64 |
| Apr 30, 2022 | 1.78 |
| Jan 29, 2022 | 2.39 |
| Oct 30, 2021 | 2.68 |
| Jul 31, 2021 | 3.95 |
| May 1, 2021 | 3.46 |
| Jan 30, 2021 | 9.36 |
| Oct 31, 2020 | 4.95 |
| Aug 1, 2020 | 1.83 |
| May 2, 2020 | 2.62 |
| Feb 1, 2020 | 2.25 |
| Nov 2, 2019 | 3.41 |
| Aug 3, 2019 | 2.09 |
| May 4, 2019 | 4.71 |
| Feb 2, 2019 | 4.23 |
Tilly'S EV to EBITDA 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=ev-to-ebitda&ticker=TLYS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "ticker": "TLYS", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=ev-to-ebitda&ticker=TLYS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();