1Stdibs.Com (DIBS) Research & Development (2020 - 2026)
1Stdibs.Com (DIBS) reported Research & Development of $6.32 million for Q2 2026, up 7.1% from $5.9 million a year earlier and up 2.3% from the prior quarter.
1Stdibs.Com (DIBS) Research & Development (2020 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, 1Stdibs.Com's Research & Development came in at $24.4 million, up 8.6% year-over-year; for FY2025, it was $23.41 million, up 10.6% from FY2024.
- Research & Development has a five-year compound annual growth rate of 7.2% (FY2020 to FY2025).
- By year, Research & Development came in at $21.17 million in FY2024 (-2.2%), $21.64 million in FY2023 (-11.4%), $24.44 million in FY2022 (+27.9%) and $19.11 million in FY2021 (+15.7%).
- The Q2 2026 figure ranks as the highest quarterly Research & Development since Q2 2023.
- Year over year, Research & Development has now increased in each of the last eight quarters, with growth averaging 13.1% over the last eight quarters.
- The high point for year-over-year Research & Development in five years was Q1 2022 (growth of 46.0%); the low point was Q3 2023 (a decline of 29.0%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $6.18 million (Q1 2026), $5.99 million (Q4 2025) and $5.91 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 3,555.16 Bn | 3,290.06 Bn | 76.16 Bn | 20.64 Bn |
| 2 | Meta Platforms | 1,645.02 Bn | 1,309.54 Bn | 51.23 Bn | 20.05 Bn |
| 3 | Netflix | 259.98 Bn | 221.27 Bn | 6.80 Bn | 1.03 Bn |
| 4 | Alibaba Group Holding | 242.36 Bn | 241.21 Bn | - | - |
| 5 | Shopify | 192.37 Bn | 171.18 Bn | 1.78 Bn | 497.00 Mn |
| 6 | Uber Technologies | 142.90 Bn | 113.72 Bn | 6.42 Bn | 1.27 Bn |
| 7 | AppLovin | 130.75 Bn | 119.27 Bn | 1.94 Bn | 101.82 Mn |
| 8 | Spotify Technology | 122.74 Bn | 105.49 Bn | - | - |
| 9 | Booking Holdings | 122.04 Bn | 55.79 Bn | - | - |
| 10 | 1Stdibs.Com | 197.29 Mn | -119.79 Mn | 16.90 Mn | 6.36 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 6.36 Mn |
| Jun 30, 2026 | 6.32 Mn |
| Mar 31, 2026 | 6.18 Mn |
| Dec 31, 2025 | 5.99 Mn |
| Sep 30, 2025 | 5.91 Mn |
| Jun 30, 2025 | 5.90 Mn |
| Mar 31, 2025 | 5.61 Mn |
| Dec 31, 2024 | 5.48 Mn |
| Sep 30, 2024 | 5.47 Mn |
| Jun 30, 2024 | 5.47 Mn |
| Mar 31, 2024 | 4.75 Mn |
| Dec 31, 2023 | 4.45 Mn |
| Sep 30, 2023 | 4.52 Mn |
| Jun 30, 2023 | 6.89 Mn |
| Mar 31, 2023 | 5.80 Mn |
| Dec 31, 2022 | 5.73 Mn |
| Sep 30, 2022 | 6.36 Mn |
| Jun 30, 2022 | 6.59 Mn |
| Mar 31, 2022 | 5.76 Mn |
| Dec 31, 2021 | 5.85 Mn |
1Stdibs.Com Research & Development 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=research-and-development&ticker=DIBS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=DIBS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();