1Stdibs.Com (DIBS) Cost of Revenue (2020 - 2026)
1Stdibs.Com (DIBS) recorded Cost of Revenue of $6.09 million in Q2 2026, down 2.4% from $6.24 million a year earlier but up 6.3% from the prior quarter.
1Stdibs.Com (DIBS) Cost of Revenue (2020 - 2026) Analysis & Trends
On a TTM basis, 1Stdibs.Com's Cost of Revenue came in at $23.53 million as of Jun 30, 2026, down 5.6% year-over-year; for FY2025, it was $24.18 million, down 2.6% from FY2024.
- Annual Cost of Revenue has declined for four straight years, with a five-year compound annual growth rate of -1.4% (FY2020 to FY2025).
- Across earlier years, Cost of Revenue came in at $24.83 million in FY2024 (-1.1%), $25.11 million in FY2023 (-15.4%), $29.67 million in FY2022 (-7.8%) and $32.17 million in FY2021 (+24.0%).
- Quarterly Cost of Revenue has ranged from $5.51 million in Q3 2023 to $10.31 million in Q4 2021 over the past five years.
- On a year-over-year basis, Cost of Revenue has declined for five consecutive quarters, with an average decline of 0.4% over the last eight quarters.
- Peak year-over-year performance for Cost of Revenue in the last five years was growth of 54.2% in Q4 2021, against a decline of 34.4% in Q4 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $5.72 million (Q1 2026), $6.08 million (Q4 2025) and $5.64 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,173.87 Bn | 3,931.39 Bn | 73.85 Bn | 45.94 Bn |
| 2 | Meta Platforms | 1,849.67 Bn | 1,552.19 Bn | 49.47 Bn | 11.33 Bn |
| 3 | Netflix | 279.23 Bn | 239.43 Bn | 6.52 Bn | 6.04 Bn |
| 4 | Alibaba Group Holding | 245.86 Bn | 63.73 Bn | 15.11 Bn | 24.48 Bn |
| 5 | Shopify | 196.08 Bn | 173.27 Bn | 1.71 Bn | 1.88 Bn |
| 6 | Uber Technologies | 138.90 Bn | 110.88 Bn | 6.38 Bn | 7.82 Bn |
| 7 | Booking Holdings | 119.48 Bn | 52.53 Bn | - | - |
| 8 | PDD Holdings | 107.30 Bn | -144.64 Bn | 9.45 Bn | 7.08 Bn |
| 9 | Spotify Technology | 97.33 Bn | 54.56 Bn | 1.86 Bn | 3.70 Bn |
| 10 | 1Stdibs.Com | 135.13 Mn | -206.28 Mn | 17.23 Mn | 6.09 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.09 Mn |
| Mar 31, 2026 | 5.72 Mn |
| Dec 31, 2025 | 6.08 Mn |
| Sep 30, 2025 | 5.64 Mn |
| Jun 30, 2025 | 6.24 Mn |
| Mar 31, 2025 | 6.22 Mn |
| Dec 31, 2024 | 6.31 Mn |
| Sep 30, 2024 | 6.15 Mn |
| Jun 30, 2024 | 6.29 Mn |
| Mar 31, 2024 | 6.08 Mn |
| Dec 31, 2023 | 5.97 Mn |
| Sep 30, 2023 | 5.51 Mn |
| Jun 30, 2023 | 6.33 Mn |
| Mar 31, 2023 | 7.31 Mn |
| Dec 31, 2022 | 6.76 Mn |
| Sep 30, 2022 | 7.28 Mn |
| Jun 30, 2022 | 7.95 Mn |
| Mar 31, 2022 | 7.68 Mn |
| Dec 31, 2021 | 10.31 Mn |
| Sep 30, 2021 | 7.52 Mn |
1Stdibs.Com Cost of Revenue 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=cost-of-revenue&ticker=DIBS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=DIBS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();