Tilly'S (TLYS) Cost of Revenue (2011 - 2026)
Tilly'S (TLYS) recorded Cost of Revenue of $105.41 million in fiscal Q2 2027 (quarter ended Aug 1, 2026), up 3.2% from $102.15 million a year earlier and up 18.9% from the prior quarter.
Tilly'S (TLYS) Cost of Revenue (2011 - 2026) Analysis & Trends
On a TTM basis, Tilly'S's Cost of Revenue came in at $394.7 million as of Aug 1, 2026, down 2.2% year-over-year; for FY2026 (ended Jan 31, 2026), it came in at $389.12 million, down 7.3% from FY2025.
- Annual Cost of Revenue has declined for four straight fiscal years, with a five-year compound annual growth rate of 0.0% (FY2021 to FY2026).
- Across earlier fiscal years, Cost of Revenue came in at $419.76 million in FY2025 (-8.2%), $457.43 million in FY2024 (-2.6%), $469.53 million in FY2023 (-5.9%) and $499.03 million in FY2022 (+28.2%).
- The fiscal Q2 2027 figure is the highest quarterly Cost of Revenue since fiscal Q4 2025.
- On a year-over-year basis, Cost of Revenue rose in two of the last eight quarters, with an average decline of 5.8%.
- Peak year-over-year performance for Cost of Revenue in the last five years was growth of 29.9% in fiscal Q3 2022, against a decline of 13.7% in fiscal Q4 2025 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $88.65 million (Q1 2027), $103.64 million (Q4 2026) and $97 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,712.14 Bn | 2,228.84 Bn | 104.83 Bn | 95.78 Bn |
| 2 | Home Depot | 282.27 Bn | 275.52 Bn | 16.12 Bn | 31.75 Bn |
| 3 | Tjx Companies | 146.16 Bn | 123.70 Bn | 5.07 Bn | 10.11 Bn |
| 4 | Lowes Companies | 101.42 Bn | 94.39 Bn | 8.58 Bn | 17.38 Bn |
| 5 | Ross Stores | 73.06 Bn | 55.98 Bn | 2.12 Bn | 4.15 Bn |
| 6 | Target | 70.86 Bn | 65.45 Bn | 8.94 Bn | 17.60 Bn |
| 7 | Carvana | 70.11 Bn | 61.71 Bn | 1.38 Bn | 5.99 Bn |
| 8 | O Reilly Automotive | 69.29 Bn | 68.38 Bn | 2.52 Bn | 2.38 Bn |
| 9 | Autozone | 45.61 Bn | 44.51 Bn | 2.52 Bn | 2.32 Bn |
| 10 | Tilly'S | 138.56 Mn | -50.11 Mn | 58.10 Mn | 105.41 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 105.41 Mn |
| May 2, 2026 | 88.65 Mn |
| Jan 31, 2026 | 103.64 Mn |
| Nov 1, 2025 | 97.00 Mn |
| Aug 2, 2025 | 102.15 Mn |
| May 3, 2025 | 86.33 Mn |
| Feb 1, 2025 | 109.02 Mn |
| Nov 2, 2024 | 106.25 Mn |
| Aug 3, 2024 | 112.95 Mn |
| May 4, 2024 | 91.54 Mn |
| Feb 3, 2024 | 126.34 Mn |
| Oct 28, 2023 | 117.76 Mn |
| Jul 29, 2023 | 115.64 Mn |
| Apr 29, 2023 | 97.70 Mn |
| Jan 28, 2023 | 127.98 Mn |
| Oct 29, 2022 | 123.26 Mn |
| Jul 30, 2022 | 116.33 Mn |
| Apr 30, 2022 | 101.96 Mn |
| Jan 29, 2022 | 134.13 Mn |
| Oct 30, 2021 | 129.36 Mn |
Tilly'S Cost of Revenue 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=cost-of-revenue&ticker=TLYS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=TLYS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();