Paid (PAYD) Return on Sales [ROS] (2010 - 2026)
Paid's Return on Sales [ROS] was -0.40% in Q2 2026, up 7.11 percentage points from -7.50% a year earlier and up 1.82 percentage points from the prior quarter.
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Analysis
Paid (PAYD) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Paid's Return on Sales [ROS] was -1.04% through Jun 30, 2026, up 3.78 percentage points year-over-year; for FY2025, it was -3.16%, down 0.51 percentage points from FY2024.
- Return on Sales [ROS] shows a five-year change of +13.33 percentage points (FY2020 to FY2025).
- In earlier years, Return on Sales [ROS] was -2.65% in FY2024 (+0.89 pp), -3.55% in FY2023 (-3.90 pp), 0.36% in FY2022 (+3.65 pp) and -3.29% in FY2021 (+13.20 pp).
- Quarterly Return on Sales [ROS] has moved between -11.02% (Q1 2023) and 3.51% (Q2 2022) over five years.
- Compared with a year earlier, Return on Sales [ROS] has increased for four straight quarters, with an average year-over-year change of +0.08 percentage points over the last eight quarters.
- The best year-over-year quarter for Return on Sales [ROS] over five years was Q4 2021 (a gain of 51.41 percentage points); the worst was Q1 2023 (a drop of 9.37 percentage points).
- Per Business Quant data, PAYD's Return on Sales [ROS] in the three quarters before Q2 2026 was -2.21% (Q1 2026), -2.11% (Q4 2025) and 0.46% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,173.87 Bn | 3,931.39 Bn | 73.85 Bn | 34.03% |
| 2 | Meta Platforms | 1,849.67 Bn | 1,552.19 Bn | 49.47 Bn | 30.88% |
| 3 | Netflix | 279.23 Bn | 239.43 Bn | 6.52 Bn | 33.38% |
| 4 | Alibaba Group Holding | 245.86 Bn | 63.73 Bn | 15.11 Bn | 5.62% |
| 5 | Shopify | 196.08 Bn | 173.27 Bn | 1.71 Bn | 13.62% |
| 6 | Uber Technologies | 138.90 Bn | 110.88 Bn | 6.38 Bn | 13.32% |
| 7 | Booking Holdings | 119.48 Bn | 52.53 Bn | - | 34.00% |
| 8 | PDD Holdings | 107.30 Bn | -144.64 Bn | 9.45 Bn | 24.62% |
| 9 | Spotify Technology | 97.33 Bn | 54.56 Bn | 1.86 Bn | 13.71% |
| 10 | Paid | 21.19 Mn | 16.91 Mn | 1.22 Mn | -0.40% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -0.40% |
| Mar 31, 2026 | -2.21% |
| Dec 31, 2025 | -2.11% |
| Sep 30, 2025 | 0.46% |
| Jun 30, 2025 | -7.50% |
| Mar 31, 2025 | -3.63% |
| Dec 31, 2024 | -4.28% |
| Sep 30, 2024 | -3.37% |
| Jun 30, 2024 | -1.64% |
| Mar 31, 2024 | -0.91% |
| Dec 31, 2023 | -0.78% |
| Sep 30, 2023 | -1.60% |
| Jun 30, 2023 | -1.63% |
| Mar 31, 2023 | -11.02% |
| Dec 31, 2022 | -0.28% |
| Sep 30, 2022 | -0.69% |
| Jun 30, 2022 | 3.51% |
| Mar 31, 2022 | -1.65% |
| Dec 31, 2021 | -3.53% |
| Sep 30, 2021 | -4.15% |
API Access
Paid 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=PAYD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "PAYD", "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=PAYD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();