1Stdibs.Com (DIBS) Return on Sales [ROS] (2020 - 2026)
1Stdibs.Com (DIBS) reported Return on Sales [ROS] of -8.85% for Q2 2026, up 16.98 percentage points from -25.83% a year earlier and up 5.98 percentage points from the prior quarter.
Powered by 
Analysis
1Stdibs.Com (DIBS) Return on Sales [ROS] (2020 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, 1Stdibs.Com's Return on Sales [ROS] came in at -13.65%, up 16.06 percentage points year-over-year; for FY2025, it was -21.16%, up 8.54 percentage points from FY2024.
- Return on Sales [ROS] has a five-year change of -4.66 percentage points (FY2020 to FY2025).
- By year, Return on Sales [ROS] came in at -29.70% in FY2024 (+6.94 pp), -36.64% in FY2023 (-9.92 pp), -26.72% in FY2022 (-4.87 pp) and -21.85% in FY2021 (-5.35 pp).
- The Q2 2026 figure ranks as the highest quarterly Return on Sales [ROS] since Q2 2022.
- Year over year, Return on Sales [ROS] has now increased in each of the last five quarters, with an average year-over-year change of +6.06 percentage points over the last eight quarters.
- The high point for year-over-year Return on Sales [ROS] in five years was Q1 2024 (a gain of 21.65 percentage points); the low point was Q2 2023 (a drop of 47.36 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at -14.82% (Q1 2026), -10.06% (Q4 2025) and -21.31% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 3,522.13 Bn | 3,257.03 Bn | 76.16 Bn | 31.81% |
| 2 | Meta Platforms | 1,639.39 Bn | 1,303.91 Bn | 51.23 Bn | 20.10% |
| 3 | Netflix | 259.77 Bn | 221.06 Bn | 6.80 Bn | 34.63% |
| 4 | Alibaba Group Holding | 238.46 Bn | 60.53 Bn | 15.16 Bn | 5.64% |
| 5 | Shopify | 188.67 Bn | 173.82 Bn | 1.78 Bn | 15.18% |
| 6 | Uber Technologies | 142.87 Bn | 114.08 Bn | 6.42 Bn | 9.80% |
| 7 | AppLovin | 131.04 Bn | 119.57 Bn | 1.94 Bn | 78.22% |
| 8 | Spotify Technology | 124.73 Bn | 81.65 Bn | 1.89 Bn | 13.52% |
| 9 | Booking Holdings | 119.44 Bn | 53.19 Bn | - | 38.43% |
| 10 | 1Stdibs.Com | 199.20 Mn | -117.88 Mn | 16.90 Mn | -9.77% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -9.77% |
| Jun 30, 2026 | -8.85% |
| Mar 31, 2026 | -14.82% |
| Dec 31, 2025 | -10.06% |
| Sep 30, 2025 | -21.31% |
| Jun 30, 2025 | -25.83% |
| Mar 31, 2025 | -27.74% |
| Dec 31, 2024 | -30.64% |
| Sep 30, 2024 | -34.88% |
| Jun 30, 2024 | -29.21% |
| Mar 31, 2024 | -24.26% |
| Dec 31, 2023 | -24.74% |
| Sep 30, 2023 | -25.33% |
| Jun 30, 2023 | -49.89% |
| Mar 31, 2023 | -45.91% |
| Dec 31, 2022 | -37.58% |
| Sep 30, 2022 | -43.55% |
| Jun 30, 2022 | -2.52% |
| Mar 31, 2022 | -25.32% |
| Dec 31, 2021 | -31.40% |
API Access
1Stdibs.Com Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=DIBS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=DIBS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();