Perfect (PERF) Return on Sales [ROS] (2021 - 2026)
Perfect (PERF) reported Return on Sales [ROS] of -0.66% for Q2 2026, up 8.31 percentage points from -8.97% a year earlier but down 8.88 percentage points from the prior quarter.
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Analysis
Perfect (PERF) Return on Sales [ROS] (2021 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Perfect's Return on Sales [ROS] came in at 1.78%, up 5.17 percentage points year-over-year; for FY2025, it was -2.50%, up 2.72 percentage points from FY2024.
- Return on Sales [ROS] has increased for three consecutive years, with a five-year change of +7.01 percentage points (FY2020 to FY2025).
- By year, Return on Sales [ROS] came in at -5.22% in FY2024 (+5.36 pp), -10.58% in FY2023 (+139.68 pp), -150.26% in FY2022 (-137.90 pp) and -12.36% in FY2021 (-2.85 pp).
- Five-year quarterly Return on Sales [ROS] spans a low of -621.62% in Q4 2022 and a high of 8.22% in Q1 2026.
- Year over year, Return on Sales [ROS] gained in seven of the last eight quarters, with an average year-over-year change of +4.96 percentage points.
- The high point for year-over-year Return on Sales [ROS] in five years was Q4 2023 (a gain of 612.92 percentage points); the low point was Q4 2022 (a drop of 586.75 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at 8.22% (Q1 2026), -3.31% (Q4 2025) and 2.66% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Adobe | 94.34 Bn | 69.59 Bn | 6.00 Bn | 34.82% |
| 2 | Atlassian | 49.41 Bn | 42.69 Bn | 1.53 Bn | 11.93% |
| 3 | Twilio | 46.29 Bn | 36.29 Bn | 725.87 Mn | 5.64% |
| 4 | Autodesk | 44.16 Bn | 32.20 Bn | 1.87 Bn | 29.28% |
| 5 | Zoom Communications | 27.42 Bn | -3.37 Bn | 985.50 Mn | 24.61% |
| 6 | Figma | 11.43 Bn | 4.94 Bn | 309.61 Mn | -31.69% |
| 7 | Dropbox | 7.49 Bn | 3.12 Bn | 506.50 Mn | 26.10% |
| 8 | Nice | 7.04 Bn | 5.51 Bn | 995.81 Mn | 14.88% |
| 9 | RingCentral | 6.56 Bn | 6.05 Bn | 472.31 Mn | 7.65% |
| 10 | Perfect | 162.46 Mn | -540.45 Mn | 13.22 Mn | -0.66% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -0.66% |
| Mar 31, 2026 | 8.22% |
| Dec 31, 2025 | -3.31% |
| Sep 30, 2025 | 2.66% |
| Jun 30, 2025 | -8.97% |
| Mar 31, 2025 | -0.98% |
| Dec 31, 2024 | -3.03% |
| Sep 30, 2024 | -0.48% |
| Jun 30, 2024 | -10.06% |
| Mar 31, 2024 | -8.30% |
| Dec 31, 2023 | -8.70% |
| Sep 30, 2023 | -5.71% |
| Jun 30, 2023 | -16.61% |
| Mar 31, 2023 | -12.29% |
| Dec 31, 2022 | -621.62% |
| Sep 30, 2022 | -1.60% |
| Jun 30, 2022 | -10.99% |
| Mar 31, 2022 | -6.66% |
| Dec 31, 2021 | -34.88% |
API Access
Perfect 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=PERF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "PERF", "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=PERF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();