Tilly'S (TLYS) Depreciation and Depletion (2022 - 2026)
Tilly'S's Depreciation and Depletion was $2.2 million in fiscal Q2 2027 (quarter ended Aug 1, 2026), down 21.4% from $2.8 million a year earlier and down 4.3% from the prior quarter.
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Analysis
Tilly'S (TLYS) Depreciation and Depletion (2022 - 2026) Analysis & Trends
On a trailing twelve-month basis, Tilly'S's Depreciation and Depletion was $9.5 million through Aug 1, 2026, down 21.5% year-over-year; for FY2026 (ended Jan 31, 2026), it came in at $10.6 million, down 17.2% from FY2025.
- Depreciation and Depletion shows a five-year compound annual growth rate of -11.1% (FY2021 to FY2026).
- In earlier fiscal years, Depreciation and Depletion was $12.8 million in FY2025 (unchanged), $12.8 million in FY2024 (-9.2%), $14.1 million in FY2023 (-16.1%) and $16.8 million in FY2022 (-12.0%).
- The fiscal Q2 2027 figure marks the lowest quarterly Depreciation and Depletion in data going back to fiscal Q3 2023.
- Compared with a year earlier, Depreciation and Depletion has declined for seven straight quarters, with an average decline of 13.0% over the last eight quarters.
- The best year-over-year quarter for Depreciation and Depletion over five years was fiscal Q3 2025 (growth of 6.5%); the worst was fiscal Q3 2026 (a decline of 24.2%).
- Per Business Quant data, TLYS's Depreciation and Depletion in the three fiscal quarters before Q2 2027 was $2.3 million (Q1 2027), $2.5 million (Q4 2026) and $2.5 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,712.14 Bn | 2,228.84 Bn | 104.83 Bn | 13.87 Bn |
| 2 | Home Depot | 282.27 Bn | 275.52 Bn | 16.12 Bn | - |
| 3 | Tjx Companies | 146.16 Bn | 123.70 Bn | 5.07 Bn | 339.00 Mn |
| 4 | Lowes Companies | 101.42 Bn | 94.39 Bn | 8.58 Bn | - |
| 5 | Ross Stores | 73.06 Bn | 55.98 Bn | 2.12 Bn | - |
| 6 | Target | 70.86 Bn | 65.45 Bn | 8.94 Bn | - |
| 7 | Carvana | 70.11 Bn | 61.71 Bn | 1.38 Bn | - |
| 8 | O Reilly Automotive | 69.29 Bn | 68.38 Bn | 2.52 Bn | - |
| 9 | Autozone | 45.61 Bn | 44.51 Bn | 2.52 Bn | - |
| 10 | Tilly'S | 138.56 Mn | -50.11 Mn | 58.10 Mn | 2.20 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 2.20 Mn |
| May 2, 2026 | 2.30 Mn |
| Jan 31, 2026 | 2.50 Mn |
| Nov 1, 2025 | 2.50 Mn |
| Aug 2, 2025 | 2.80 Mn |
| May 3, 2025 | 2.80 Mn |
| Feb 1, 2025 | 3.20 Mn |
| Nov 2, 2024 | 3.30 Mn |
| Aug 3, 2024 | 3.20 Mn |
| May 4, 2024 | 3.10 Mn |
| Feb 3, 2024 | 3.30 Mn |
| Oct 28, 2023 | 3.10 Mn |
| Jul 29, 2023 | 3.30 Mn |
| Apr 29, 2023 | 3.20 Mn |
| Jan 28, 2023 | 3.60 Mn |
| Oct 29, 2022 | 3.50 Mn |
API Access
Tilly'S Depreciation and Depletion 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=depreciation-and-depletion&ticker=TLYS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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=depreciation-and-depletion&ticker=TLYS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();