Tilly'S (TLYS) EV to CFO (2012 - 2026)
Tilly'S's (TLYS) EV to CFO was 3.17 for fiscal Q2 2027 (quarter ended Aug 1, 2026), down 71.1% from the prior quarter.
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Analysis
Tilly'S (TLYS) EV to CFO (2012 - 2026) Analysis & Trends
Over the twelve months ended Aug 1, 2026, Tilly'S's EV to CFO came in at -4.39; for FY2026 (ended Jan 31, 2026), it was -0.51.
- By fiscal year, EV to CFO came in at 3.94 in FY2022 (+2.4%).
- Five-year quarterly EV to CFO spans a low of -0.51 in fiscal Q4 2026 and a high of 83.88 in fiscal Q2 2024.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,828.15 Bn | 2,344.85 Bn | 104.83 Bn |
| 2 | Home Depot | 312.02 Bn | 305.26 Bn | 16.12 Bn |
| 3 | Tjx Companies | 160.78 Bn | 138.32 Bn | 5.07 Bn |
| 4 | Lowes Companies | 109.83 Bn | 102.79 Bn | 8.58 Bn |
| 5 | Ross Stores | 74.49 Bn | 57.42 Bn | 2.12 Bn |
| 6 | O Reilly Automotive | 73.51 Bn | 72.60 Bn | 2.52 Bn |
| 7 | Target | 69.38 Bn | 63.97 Bn | 8.94 Bn |
| 8 | Autozone | 52.02 Bn | 50.92 Bn | 2.52 Bn |
| 9 | Carvana | 42.62 Bn | 33.11 Bn | 1.38 Bn |
| 10 | Tilly'S | 139.47 Mn | -49.20 Mn | 58.10 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 3.17 |
| May 2, 2026 | 10.96 |
| Jan 31, 2026 | -0.51 |
| Jul 29, 2023 | 83.88 |
| Oct 29, 2022 | 29.03 |
| Jul 30, 2022 | 5.88 |
| Apr 30, 2022 | 6.04 |
| Jan 29, 2022 | 3.94 |
| Oct 30, 2021 | 4.23 |
| Jul 31, 2021 | 5.28 |
| May 1, 2021 | 2.61 |
| Jan 30, 2021 | 3.85 |
| Oct 31, 2020 | 1.73 |
| Aug 1, 2020 | 0.72 |
| May 2, 2020 | 2.83 |
| Feb 1, 2020 | 3.05 |
| Nov 2, 2019 | 3.40 |
| Aug 3, 2019 | 2.75 |
| May 4, 2019 | 5.61 |
| Feb 2, 2019 | 4.88 |
API Access
Tilly'S EV to CFO 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-cfo&ticker=TLYS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-cfo", "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-cfo&ticker=TLYS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();