ThredUp (TDUP) Total Liabilities (2020 - 2026)
ThredUp's Total Liabilities came in at $109.39 million for Q2 2026, down 3.5% from $113.4 million a year earlier and down 3.2% from the prior quarter.
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Analysis
ThredUp (TDUP) Total Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, ThredUp's Total Liabilities was $108.05 million, down 6.0% from FY2024.
- Total Liabilities has declined in each of the last three years, with a five-year compound annual growth rate of -21.6% (FY2020 to FY2025).
- Going back by year, Total Liabilities was $114.92 million in FY2024 (-21.3%), $146.05 million in FY2023 (-9.8%), $161.95 million in FY2022 (+4.4%) and $155.09 million in FY2021 (-57.5%).
- The five-year range for quarterly Total Liabilities is $108.05 million (Q4 2025) to $177.97 million (Q2 2022).
- Year-over-year, Total Liabilities has declined for 14 consecutive quarters, with an average decline of 13.4% over the last eight quarters.
- The fastest year-over-year change in Total Liabilities over five years came in Q2 2022 (growth of 35.3%), and the weakest in Q4 2021 (a decline of 57.5%).
- Business Quant data shows TDUP's Total Liabilities at $112.98 million (Q1 2026), $108.05 million (Q4 2025) and $113.4 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn | 544.07 Bn |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn | 92.77 Bn |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn | 26.46 Bn |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn | 63.32 Bn |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn | 9.24 Bn |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | 43.39 Bn |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn | 19.22 Bn |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn | 9.41 Bn |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn | 23.70 Bn |
| 10 | ThredUp | 278.35 Mn | 77.23 Mn | 72.52 Mn | 109.39 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 109.39 Mn |
| Mar 31, 2026 | 112.98 Mn |
| Dec 31, 2025 | 108.05 Mn |
| Sep 30, 2025 | 113.40 Mn |
| Jun 30, 2025 | 113.40 Mn |
| Mar 31, 2025 | 116.42 Mn |
| Dec 31, 2024 | 114.92 Mn |
| Sep 30, 2024 | 145.67 Mn |
| Jun 30, 2024 | 144.72 Mn |
| Mar 31, 2024 | 150.75 Mn |
| Dec 31, 2023 | 146.05 Mn |
| Sep 30, 2023 | 155.84 Mn |
| Jun 30, 2023 | 155.73 Mn |
| Mar 31, 2023 | 163.68 Mn |
| Dec 31, 2022 | 161.95 Mn |
| Sep 30, 2022 | 169.90 Mn |
| Jun 30, 2022 | 177.97 Mn |
| Mar 31, 2022 | 173.34 Mn |
| Dec 31, 2021 | 155.09 Mn |
| Sep 30, 2021 | 134.54 Mn |
API Access
ThredUp Total Liabilities 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=total-liabilities&ticker=TDUP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=TDUP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();