1Stdibs.Com (DIBS) Accumulated Expenses (2020 - 2026)
1Stdibs.Com's Accumulated Expenses came in at $9.03 million for Q2 2026, up 1.7% from $8.88 million a year earlier but down 1.2% from the prior quarter.
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Analysis
1Stdibs.Com (DIBS) Accumulated Expenses (2020 - 2026) Analysis & Trends
At the end of FY2025, 1Stdibs.Com's Accumulated Expenses was $9.46 million, down 17.6% from FY2024.
- Accumulated Expenses carries a five-year compound annual growth rate of 0.0% (FY2020 to FY2025).
- Going back by year, Accumulated Expenses was $11.48 million in FY2024 (+5.4%), $10.88 million in FY2023 (+1.1%), $10.76 million in FY2022 (-21.7%) and $13.75 million in FY2021 (+45.4%).
- The five-year range for quarterly Accumulated Expenses is $8.88 million (Q2 2025) to $13.75 million (Q4 2021).
- Year-over-year, Accumulated Expenses increased in four of the last eight quarters, with an average decline of 2.2%.
- The fastest year-over-year change in Accumulated Expenses over five years came in Q4 2021 (growth of 45.4%), and the weakest in Q4 2022 (a decline of 21.7%).
- Business Quant data shows DIBS's Accumulated Expenses at $9.14 million (Q1 2026), $9.46 million (Q4 2025) and $11.48 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Alphabet | 3,522.13 Bn | 3,257.03 Bn | 76.16 Bn |
| 2 | Meta Platforms | 1,639.39 Bn | 1,303.91 Bn | 51.23 Bn |
| 3 | Netflix | 259.77 Bn | 221.06 Bn | 6.80 Bn |
| 4 | Alibaba Group Holding | 238.46 Bn | 60.53 Bn | 15.16 Bn |
| 5 | Shopify | 188.67 Bn | 173.82 Bn | 1.78 Bn |
| 6 | Uber Technologies | 142.87 Bn | 114.08 Bn | 6.42 Bn |
| 7 | AppLovin | 131.04 Bn | 119.57 Bn | 1.94 Bn |
| 8 | Spotify Technology | 124.73 Bn | 81.65 Bn | 1.89 Bn |
| 9 | Booking Holdings | 119.44 Bn | 53.19 Bn | - |
| 10 | 1Stdibs.Com | 199.20 Mn | -117.88 Mn | 16.90 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 10.98 Mn |
| Jun 30, 2026 | 9.03 Mn |
| Mar 31, 2026 | 9.14 Mn |
| Dec 31, 2025 | 9.46 Mn |
| Sep 30, 2025 | 11.48 Mn |
| Jun 30, 2025 | 8.88 Mn |
| Mar 31, 2025 | 10.20 Mn |
| Dec 31, 2024 | 11.48 Mn |
| Sep 30, 2024 | 10.87 Mn |
| Jun 30, 2024 | 9.44 Mn |
| Mar 31, 2024 | 9.53 Mn |
| Dec 31, 2023 | 10.88 Mn |
| Sep 30, 2023 | 11.32 Mn |
| Jun 30, 2023 | 11.42 Mn |
| Mar 31, 2023 | 10.89 Mn |
| Dec 31, 2022 | 10.76 Mn |
| Sep 30, 2022 | 12.50 Mn |
| Jun 30, 2022 | 12.54 Mn |
| Mar 31, 2022 | 12.61 Mn |
| Dec 31, 2021 | 13.75 Mn |
API Access
1Stdibs.Com Accumulated 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=accumulated-expenses&ticker=DIBS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=DIBS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();