Savers Value Village (SVV) Depreciation & Amortization - Total (2022 - 2023)
Savers Value Village's Depreciation & Amortization - Total was $73.7 million in FY2026.
Analysis
Savers Value Village (SVV) Depreciation & Amortization - Total (2022 - 2023) Analysis & Trends
From FY2021 onward, Savers Value Village has reported Depreciation & Amortization - Total for 5 years.
- Depreciation & Amortization - Total shows a five-year compound annual growth rate of 14.1% (FY2021 to FY2026).
- The FY2026 figure marks the highest annual Depreciation & Amortization - Total in data going back to FY2021.
- Per Business Quant data, Depreciation & Amortization - Total in earlier years was $61.3 million in FY2024 (+9.5%), $56 million in FY2023 (+12.9%) and $49.6 million in FY2022 (+30.2%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Tot) (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,676.66 Bn | 2,193.36 Bn | 104.83 Bn | - |
| 2 | Home Depot | 281.92 Bn | 275.16 Bn | 16.12 Bn | - |
| 3 | Tjx Companies | 147.13 Bn | 124.67 Bn | 5.07 Bn | - |
| 4 | Lowes Companies | 102.34 Bn | 95.31 Bn | 8.58 Bn | - |
| 5 | Ross Stores | 74.83 Bn | 57.76 Bn | 2.12 Bn | - |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | - |
| 7 | O Reilly Automotive | 69.40 Bn | 68.49 Bn | 2.52 Bn | - |
| 8 | Carvana | 69.33 Bn | 60.93 Bn | 1.38 Bn | - |
| 9 | Autozone | 46.02 Bn | 44.93 Bn | 2.52 Bn | - |
| 10 | Savers Value Village | 1.42 Bn | 1.12 Bn | 254.92 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 30, 2023 | 14.80 Mn |
| Sep 30, 2023 | 14.60 Mn |
| Jul 1, 2023 | 13.30 Mn |
| Dec 31, 2022 | 13.50 Mn |
| Oct 1, 2022 | 12.20 Mn |
| Jul 2, 2022 | 12.50 Mn |
API Access
Savers Value Village Depreciation & Amortization - Total 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-amortization-total&ticker=SVV&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-total", "ticker": "SVV", "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-amortization-total&ticker=SVV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();