ThredUp (TDUP) Operating Expenses (2020 - 2026)
ThredUp (TDUP) posted Operating Expenses of $78.64 million for Q2 2026, up 17.4% from $66.98 million a year earlier and up 10.4% from the prior quarter.
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Analysis
ThredUp (TDUP) Operating Expenses (2020 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at ThredUp was $289.6 million, up 15.7% year-over-year; for FY2025, it came in at $268.5 million, up 8.4% from FY2024.
- Annual Operating Expenses shows a five-year compound annual growth rate of 9.0% (FY2020 to FY2025).
- In prior years, ThredUp's Operating Expenses was $247.74 million in FY2024 (-1.5%), $251.47 million in FY2023 (-10.8%), $281.83 million in FY2022 (+17.2%) and $240.52 million in FY2021 (+37.6%).
- The Q2 2026 figure stands as the highest quarterly Operating Expenses since Q2 2022.
- On a year-over-year basis, Operating Expenses has increased in each of the last five quarters, with growth averaging 18.4% over the last eight quarters.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q4 2024, with growth of 101.3%; the weakest was Q4 2023, with a decline of 49.6%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $71.25 million (Q1 2026), $70.11 million (Q4 2025) and $69.6 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn | 173.15 Bn |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn | 9.28 Bn |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn | 3.09 Bn |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn | 4.46 Bn |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn | 1.02 Bn |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | 5.73 Bn |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn | 1.53 Bn |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn | 704.00 Mn |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn | 1.60 Bn |
| 10 | ThredUp | 278.35 Mn | 77.23 Mn | 72.52 Mn | 78.64 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 78.64 Mn |
| Mar 31, 2026 | 71.25 Mn |
| Dec 31, 2025 | 70.11 Mn |
| Sep 30, 2025 | 69.60 Mn |
| Jun 30, 2025 | 66.98 Mn |
| Mar 31, 2025 | 61.81 Mn |
| Dec 31, 2024 | 62.26 Mn |
| Sep 30, 2024 | 59.22 Mn |
| Jun 30, 2024 | 62.16 Mn |
| Mar 31, 2024 | 64.11 Mn |
| Dec 31, 2023 | 30.93 Mn |
| Sep 30, 2023 | 74.82 Mn |
| Jun 30, 2023 | 74.44 Mn |
| Mar 31, 2023 | 71.28 Mn |
| Dec 31, 2022 | 61.36 Mn |
| Sep 30, 2022 | 68.69 Mn |
| Jun 30, 2022 | 80.98 Mn |
| Mar 31, 2022 | 70.80 Mn |
| Dec 31, 2021 | 66.51 Mn |
| Sep 30, 2021 | 61.59 Mn |
API Access
ThredUp Operating Expenses 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=operating-expenses&ticker=TDUP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=TDUP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();