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 | 3,522.13 Bn | 3,257.03 Bn | 76.16 Bn | 56.33 Bn |
| 2 | Meta Platforms | 1,639.39 Bn | 1,303.91 Bn | 51.23 Bn | 11.22 Bn |
| 3 | Netflix | 259.77 Bn | 221.06 Bn | 6.80 Bn | 8.19 Bn |
| 4 | Alibaba Group Holding | 238.46 Bn | 60.53 Bn | 15.16 Bn | 21.06 Bn |
| 5 | Shopify | 188.67 Bn | 173.82 Bn | 1.78 Bn | 1.87 Bn |
| 6 | Uber Technologies | 142.87 Bn | 114.08 Bn | 6.42 Bn | 9.56 Bn |
| 7 | AppLovin | 131.04 Bn | 119.57 Bn | 1.94 Bn | 3.17 Bn |
| 8 | Spotify Technology | 124.73 Bn | 81.65 Bn | 1.89 Bn | 6.84 Bn |
| 9 | Booking Holdings | 119.44 Bn | 53.19 Bn | - | 15.81 Bn |
| 10 | 1Stdibs.Com | 199.20 Mn | -117.88 Mn | 16.90 Mn | 19.99 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 19.99 Mn |
| 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 |
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();