1Stdibs.Com (DIBS) Cash & Equivalents (2020 - 2026)
1Stdibs.Com's Cash & Equivalents was $18.87 million in Q2 2026, down 15.9% from $22.43 million a year earlier and down 7.1% from the prior quarter.
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Analysis
1Stdibs.Com (DIBS) Cash & Equivalents (2020 - 2026) Analysis & Trends
At the end of FY2025, Cash & Equivalents at 1Stdibs.Com came in at $22.88 million, down 11.9% from FY2024.
- Cash & Equivalents has now declined for four consecutive years, with a five-year compound annual growth rate of -16.0% (FY2020 to FY2025).
- In earlier years, Cash & Equivalents was $25.96 million in FY2024 (-30.6%), $37.4 million in FY2023 (-75.6%), $153.21 million in FY2022 (-8.9%) and $168.23 million in FY2021 (+206.6%).
- The Q2 2026 figure marks the lowest quarterly Cash & Equivalents in data going back to Q2 2020.
- Compared with a year earlier, Cash & Equivalents was higher in 1 of the last eight quarters, with an average decline of 18.2%.
- The best year-over-year quarter for Cash & Equivalents over five years was Q3 2021 (growth of 241.0%); the worst was Q3 2023 (a decline of 79.5%).
- Per Business Quant data, DIBS's Cash & Equivalents in the three quarters before Q2 2026 was $20.32 million (Q1 2026), $22.88 million (Q4 2025) and $19.94 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,109.95 Bn | 3,867.48 Bn | 73.85 Bn | 55.91 Bn |
| 2 | Netflix | 282.52 Bn | 242.72 Bn | 6.52 Bn | 9.10 Bn |
| 3 | Alibaba Group Holding | 249.53 Bn | 67.40 Bn | 15.11 Bn | 21.06 Bn |
| 4 | Shopify | 193.10 Bn | 170.29 Bn | 1.71 Bn | 1.66 Bn |
| 5 | Uber Technologies | 138.52 Bn | 110.49 Bn | 6.38 Bn | 4.87 Bn |
| 6 | Booking Holdings | 120.43 Bn | 53.48 Bn | - | 17.21 Bn |
| 7 | PDD Holdings | 108.89 Bn | -143.04 Bn | 9.45 Bn | 19.00 Bn |
| 8 | Spotify Technology | 101.14 Bn | 58.37 Bn | 1.86 Bn | 6.90 Bn |
| 9 | Airbnb | 94.68 Bn | 47.91 Bn | 2.98 Bn | 6.82 Bn |
| 10 | 1Stdibs.Com | 130.43 Mn | -210.99 Mn | 17.23 Mn | 18.87 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 18.87 Mn |
| Mar 31, 2026 | 20.32 Mn |
| Dec 31, 2025 | 22.88 Mn |
| Sep 30, 2025 | 19.94 Mn |
| Jun 30, 2025 | 22.43 Mn |
| Mar 31, 2025 | 20.30 Mn |
| Dec 31, 2024 | 25.96 Mn |
| Sep 30, 2024 | 22.02 Mn |
| Jun 30, 2024 | 23.81 Mn |
| Mar 31, 2024 | 33.73 Mn |
| Dec 31, 2023 | 37.40 Mn |
| Sep 30, 2023 | 32.44 Mn |
| Jun 30, 2023 | 45.41 Mn |
| Mar 31, 2023 | 87.79 Mn |
| Dec 31, 2022 | 153.21 Mn |
| Sep 30, 2022 | 158.00 Mn |
| Jun 30, 2022 | 162.69 Mn |
| Mar 31, 2022 | 161.36 Mn |
| Dec 31, 2021 | 168.23 Mn |
| Sep 30, 2021 | 167.09 Mn |
API Access
1Stdibs.Com Cash & Equivalents 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=cash-and-equivalents&ticker=DIBS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=DIBS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();