ThredUp (TDUP) Depreciation and Depletion (2020 - 2026)
ThredUp's Depreciation and Depletion was $4.1 million in Q2 2026, up 28.1% from $3.2 million a year earlier and up 24.2% from the prior quarter.
ThredUp (TDUP) Depreciation and Depletion (2020 - 2026) Analysis & Trends
On a trailing twelve-month basis, ThredUp's Depreciation and Depletion was $13.9 million through Jun 30, 2026, down 14.7% year-over-year; for FY2025, it was $12.9 million, down 25.4% from FY2024.
- Depreciation and Depletion shows a five-year compound annual growth rate of 18.2% (FY2020 to FY2025).
- In earlier years, Depreciation and Depletion was $17.3 million in FY2024 (+21.8%), $14.2 million in FY2023 (+23.5%), $11.5 million in FY2022 (+35.3%) and $8.5 million in FY2021 (+51.8%).
- The Q2 2026 figure marks the highest quarterly Depreciation and Depletion since Q4 2024.
- Compared with a year earlier, Depreciation and Depletion was higher in three of the last eight quarters, with growth averaging 12.6%.
- The best year-over-year quarter for Depreciation and Depletion over five years was Q4 2024 (growth of 178.3%); the worst was Q4 2025 (a decline of 46.9%).
- Per Business Quant data, TDUP's Depreciation and Depletion in the three quarters before Q2 2026 was $3.3 million (Q1 2026), $3.4 million (Q4 2025) and $3.1 million (Q3 2025).
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 | ThredUp | 284.91 Mn | 83.79 Mn | 72.52 Mn | 4.10 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.10 Mn |
| Mar 31, 2026 | 3.30 Mn |
| Dec 31, 2025 | 3.40 Mn |
| Sep 30, 2025 | 3.10 Mn |
| Jun 30, 2025 | 3.20 Mn |
| Mar 31, 2025 | 3.20 Mn |
| Dec 31, 2024 | 6.40 Mn |
| Sep 30, 2024 | 3.50 Mn |
| Jun 30, 2024 | 3.60 Mn |
| Mar 31, 2024 | 3.70 Mn |
| Dec 31, 2023 | 2.30 Mn |
| Sep 30, 2023 | 4.70 Mn |
| Jun 30, 2023 | 4.20 Mn |
| Mar 31, 2023 | 3.00 Mn |
| Dec 31, 2022 | 3.20 Mn |
| Sep 30, 2022 | 2.90 Mn |
| Jun 30, 2022 | 2.80 Mn |
| Mar 31, 2022 | 2.60 Mn |
| Dec 31, 2021 | 2.40 Mn |
| Sep 30, 2021 | 2.20 Mn |
ThredUp 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=TDUP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "ticker": "TDUP", "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=TDUP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();