1Stdibs.Com (DIBS) Other Accumulated Expenses (2020 - 2026)
1Stdibs.Com (DIBS) recorded Other Accumulated Expenses of $2.72 million in Q2 2026, up 46.0% from $1.87 million a year earlier but down 5.4% from the prior quarter.
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Analysis
1Stdibs.Com (DIBS) Other Accumulated Expenses (2020 - 2026) Analysis & Trends
At the end of FY2025, 1Stdibs.Com reported Other Accumulated Expenses of $2.06 million, up 4.8% from FY2024.
- Annual Other Accumulated Expenses has a five-year compound annual growth rate of -16.0% (FY2020 to FY2025).
- Across earlier years, Other Accumulated Expenses came in at $1.97 million in FY2024 (-45.7%), $3.62 million in FY2023 (+49.0%), $2.43 million in FY2022 (-30.8%) and $3.51 million in FY2021 (-28.6%).
- Quarterly Other Accumulated Expenses has ranged from $1.69 million in Q3 2025 to $3.95 million in Q1 2024 over the past five years.
- On a year-over-year basis, Other Accumulated Expenses has increased for three consecutive quarters, with an average decline of 8.8% over the last eight quarters.
- Peak year-over-year performance for Other Accumulated Expenses in the last five years was growth of 61.8% in Q1 2026, against a decline of 55.0% in Q1 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $2.88 million (Q1 2026), $2.06 million (Q4 2025) and $1.69 million (Q3 2025).
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 | 3.00 Mn |
| Jun 30, 2026 | 2.72 Mn |
| Mar 31, 2026 | 2.88 Mn |
| Dec 31, 2025 | 2.06 Mn |
| Sep 30, 2025 | 1.69 Mn |
| Jun 30, 2025 | 1.87 Mn |
| Mar 31, 2025 | 1.78 Mn |
| Dec 31, 2024 | 1.97 Mn |
| Sep 30, 2024 | 1.84 Mn |
| Jun 30, 2024 | 3.33 Mn |
| Mar 31, 2024 | 3.95 Mn |
| Dec 31, 2023 | 3.62 Mn |
| Sep 30, 2023 | 2.63 Mn |
| Jun 30, 2023 | 2.78 Mn |
| Mar 31, 2023 | 3.16 Mn |
| Dec 31, 2022 | 2.43 Mn |
| Sep 30, 2022 | 3.17 Mn |
| Jun 30, 2022 | 2.78 Mn |
| Mar 31, 2022 | 3.42 Mn |
| Dec 31, 2021 | 3.51 Mn |
API Access
1Stdibs.Com Other 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=other-accumulated-expenses&ticker=DIBS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-accumulated-expenses&ticker=DIBS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();