Pony (PNYG) Return on Sales [ROS] (2019 - 2026)
Pony (PNYG) posted Return on Sales [ROS] of -161.57% for Q2 2026, down 76.22 percentage points from -85.34% a year earlier but up 77.91 percentage points from the prior quarter.
Pony (PNYG) Return on Sales [ROS] (2019 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Return on Sales [ROS] at Pony was -218.41%, down 96.47 percentage points year-over-year; for FY2025, it came in at -173.74%, down 6.34 percentage points from FY2024.
- Annual Return on Sales [ROS] shows a five-year change of -136.00 percentage points (FY2020 to FY2025).
- In prior years, Pony's Return on Sales [ROS] was -167.40% in FY2024 (-84.14 pp), -83.26% in FY2023 (+166.59 pp), -249.84% in FY2022 (-176.28 pp) and -73.57% in FY2021 (-35.82 pp).
- Quarterly Return on Sales [ROS] has run from a low of -493.90% in Q2 2022 to a high of -5.17% in Q4 2021 over five years.
- On a year-over-year basis, Return on Sales [ROS] has declined in each of the last three quarters, with an average year-over-year change of -16.32 percentage points over the last eight quarters.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was Q2 2023, with a gain of 397.53 percentage points; the weakest was Q2 2022, with a drop of 402.81 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior quarters was -239.48% (Q1 2026), -352.05% (Q4 2025) and -92.47% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 3,895.73 Bn | 3,653.26 Bn | 73.85 Bn | 34.03% |
| 2 | Meta Platforms | 1,630.44 Bn | 1,332.96 Bn | 49.47 Bn | 30.88% |
| 3 | Netflix | 272.52 Bn | 233.82 Bn | 6.80 Bn | 34.63% |
| 4 | Alibaba Group Holding | 231.75 Bn | 45.53 Bn | 15.11 Bn | 5.62% |
| 5 | Shopify | 218.48 Bn | 195.66 Bn | 1.71 Bn | 13.62% |
| 6 | Uber Technologies | 136.23 Bn | 108.03 Bn | 6.38 Bn | 13.32% |
| 7 | Spotify Technology | 119.61 Bn | 76.53 Bn | 1.89 Bn | 13.52% |
| 8 | Booking Holdings | 119.59 Bn | 52.64 Bn | - | 34.00% |
| 9 | PDD Holdings | 110.53 Bn | -133.24 Bn | 9.45 Bn | 24.62% |
| 10 | Pony | 689,999.98 | 654,026.98 | 3,440.00 | -161.57% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -161.57% |
| Mar 31, 2026 | -239.48% |
| Dec 31, 2025 | -352.05% |
| Sep 30, 2025 | -92.47% |
| Jun 30, 2025 | -85.34% |
| Mar 31, 2025 | -163.11% |
| Dec 31, 2024 | -132.30% |
| Sep 30, 2024 | -116.49% |
| Jun 30, 2024 | -115.02% |
| Mar 31, 2024 | -476.32% |
| Dec 31, 2023 | -87.45% |
| Sep 30, 2023 | -36.24% |
| Jun 30, 2023 | -96.37% |
| Mar 31, 2023 | -101.44% |
| Dec 31, 2022 | -41.16% |
| Sep 30, 2022 | -159.94% |
| Jun 30, 2022 | -493.90% |
| Mar 31, 2022 | -389.63% |
| Dec 31, 2021 | -5.17% |
| Sep 30, 2021 | -110.43% |
Pony 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=PNYG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "PNYG", "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=PNYG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();