1Stdibs.Com (DIBS) Operating Expenses (2020 - 2026)
1Stdibs.Com's Operating Expenses came in at $19.29 million for Q2 2026, down 10.7% from $21.62 million a year earlier and down 3.5% from the prior quarter.
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Analysis
1Stdibs.Com (DIBS) Operating Expenses (2020 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, 1Stdibs.Com reported Operating Expenses of $79.49 million, down 11.7% year-over-year; for FY2025, it came in at $84.4 million, down 5.8% from FY2024.
- Operating Expenses has declined in each of the last three years, though with a five-year compound annual growth rate of 4.0% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $89.64 million in FY2024 (-1.1%), $90.6 million in FY2023 (-2.6%), $93.06 million in FY2022 (+0.1%) and $93.01 million in FY2021 (+34.0%).
- The five-year range for quarterly Operating Expenses is $17.24 million (Q2 2022) to $25.64 million (Q1 2022).
- Year-over-year, Operating Expenses has declined for five consecutive quarters, with an average decline of 2.3% over the last eight quarters.
- The fastest year-over-year change in Operating Expenses over five years came in Q3 2021 (growth of 51.9%), and the weakest in Q2 2022 (a decline of 21.6%).
- Business Quant data shows DIBS's Operating Expenses at $19.98 million (Q1 2026), $19.2 million (Q4 2025) and $21.01 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,164.76 Bn | 3,922.28 Bn | 73.85 Bn | 79.03 Bn |
| 2 | Meta Platforms | 1,823.40 Bn | 1,525.92 Bn | 49.47 Bn | 42.03 Bn |
| 3 | Netflix | 288.27 Bn | 248.47 Bn | 6.52 Bn | 1.51 Bn |
| 4 | Alibaba Group Holding | 252.72 Bn | 70.58 Bn | 15.11 Bn | -5.17 Bn |
| 5 | Shopify | 186.52 Bn | 163.71 Bn | 1.71 Bn | 1.22 Bn |
| 6 | Uber Technologies | 139.11 Bn | 111.09 Bn | 6.38 Bn | 12.30 Bn |
| 7 | Booking Holdings | 123.13 Bn | 56.18 Bn | - | 4.85 Bn |
| 8 | PDD Holdings | 111.72 Bn | -140.21 Bn | 9.45 Bn | -5.39 Bn |
| 9 | AppLovin | 103.35 Bn | 93.38 Bn | 1.70 Bn | 429.41 Mn |
| 10 | 1Stdibs.Com | 133.79 Mn | -207.63 Mn | 17.23 Mn | 19.29 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 19.29 Mn |
| Mar 31, 2026 | 19.98 Mn |
| Dec 31, 2025 | 19.20 Mn |
| Sep 30, 2025 | 21.01 Mn |
| Jun 30, 2025 | 21.62 Mn |
| Mar 31, 2025 | 22.58 Mn |
| Dec 31, 2024 | 23.44 Mn |
| Sep 30, 2024 | 22.43 Mn |
| Jun 30, 2024 | 22.44 Mn |
| Mar 31, 2024 | 21.34 Mn |
| Dec 31, 2023 | 20.13 Mn |
| Sep 30, 2023 | 20.39 Mn |
| Jun 30, 2023 | 25.03 Mn |
| Mar 31, 2023 | 25.05 Mn |
| Dec 31, 2022 | 24.82 Mn |
| Sep 30, 2022 | 25.35 Mn |
| Jun 30, 2022 | 17.24 Mn |
| Mar 31, 2022 | 25.64 Mn |
| Dec 31, 2021 | 25.08 Mn |
| Sep 30, 2021 | 24.99 Mn |
API Access
1Stdibs.Com 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=DIBS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=DIBS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();