1Stdibs.Com (DIBS) Total Liabilities (2020 - 2026)
1Stdibs.Com (DIBS) reported Total Liabilities of $36.63 million for Q2 2026, down 16.2% from $43.71 million a year earlier and down 3.3% from the prior quarter.
Powered by 
Analysis
1Stdibs.Com (DIBS) Total Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, 1Stdibs.Com posted Total Liabilities of $38.53 million, down 17.1% from FY2024.
- Total Liabilities has declined for three consecutive years, with a five-year compound annual growth rate of -34.7% (FY2020 to FY2025).
- By year, Total Liabilities came in at $46.45 million in FY2024 (-0.2%), $46.53 million in FY2023 (-2.6%), $47.77 million in FY2022 (+37.2%) and $34.82 million in FY2021 (-89.3%).
- The Q2 2026 figure ranks as the lowest quarterly Total Liabilities since Q4 2021.
- Year over year, Total Liabilities has now declined in each of the last seven quarters, with an average decline of 9.3% over the last eight quarters.
- The high point for year-over-year Total Liabilities in five years was Q3 2022 (growth of 69.7%); the low point was Q4 2021 (a decline of 89.3%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $37.89 million (Q1 2026), $38.53 million (Q4 2025) and $41.2 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,164.76 Bn | 3,922.28 Bn | 73.85 Bn | 281.50 Bn |
| 2 | Meta Platforms | 1,823.40 Bn | 1,525.92 Bn | 49.47 Bn | 188.74 Bn |
| 3 | Netflix | 288.27 Bn | 248.47 Bn | 6.52 Bn | 28.30 Bn |
| 4 | Alibaba Group Holding | 252.72 Bn | 70.58 Bn | 15.11 Bn | 125.68 Bn |
| 5 | Shopify | 186.52 Bn | 163.71 Bn | 1.71 Bn | 1.79 Bn |
| 6 | Uber Technologies | 139.11 Bn | 111.09 Bn | 6.38 Bn | 37.58 Bn |
| 7 | Booking Holdings | 123.13 Bn | 56.18 Bn | - | 40.47 Bn |
| 8 | PDD Holdings | 111.72 Bn | -140.21 Bn | 9.45 Bn | 31.67 Bn |
| 9 | AppLovin | 103.35 Bn | 93.38 Bn | 1.70 Bn | 5.11 Bn |
| 10 | 1Stdibs.Com | 133.79 Mn | -207.63 Mn | 17.23 Mn | 36.63 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 36.63 Mn |
| Mar 31, 2026 | 37.89 Mn |
| Dec 31, 2025 | 38.53 Mn |
| Sep 30, 2025 | 41.20 Mn |
| Jun 30, 2025 | 43.71 Mn |
| Mar 31, 2025 | 46.27 Mn |
| Dec 31, 2024 | 46.45 Mn |
| Sep 30, 2024 | 47.19 Mn |
| Jun 30, 2024 | 47.20 Mn |
| Mar 31, 2024 | 48.45 Mn |
| Dec 31, 2023 | 46.53 Mn |
| Sep 30, 2023 | 46.46 Mn |
| Jun 30, 2023 | 47.33 Mn |
| Mar 31, 2023 | 47.71 Mn |
| Dec 31, 2022 | 47.77 Mn |
| Sep 30, 2022 | 52.68 Mn |
| Jun 30, 2022 | 55.73 Mn |
| Mar 31, 2022 | 57.00 Mn |
| Dec 31, 2021 | 34.82 Mn |
| Sep 30, 2021 | 31.05 Mn |
API Access
1Stdibs.Com 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=DIBS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "DIBS", "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=DIBS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();