Perfect (PERF) Price to Earnings (2023 - 2026)
Perfect's (PERF) Price to Earnings was 24.45 for Q2 2026, down 26.8% from 33.40 a year earlier and down 20.0% from the prior quarter.
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Analysis
Perfect (PERF) Price to Earnings (2023 - 2026) Analysis & Trends
For FY2025, Price to Earnings at Perfect was 33.16, down 33.4% from FY2024.
- By year, Price to Earnings came in at 49.79 in FY2024 (-27.9%) and 69.09 in FY2023.
- The Q2 2026 figure ranks as the lowest quarterly Price to Earnings in data going back to Q4 2023.
- Year over year, Price to Earnings gained in 1 of the last seven quarters, with an average decline of 27.2%.
- Per Business Quant data, the three quarters before Q2 2026 came in at 30.57 (Q1 2026), 35.20 (Q4 2025) and 29.58 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Adobe | 93.82 Bn | 69.07 Bn | 6.00 Bn |
| 2 | Atlassian | 46.64 Bn | 39.92 Bn | 1.53 Bn |
| 3 | Twilio | 44.91 Bn | 34.90 Bn | 725.87 Mn |
| 4 | Autodesk | 43.68 Bn | 31.72 Bn | 1.87 Bn |
| 5 | Zoom Communications | 26.53 Bn | -4.25 Bn | 985.50 Mn |
| 6 | Figma | 11.16 Bn | 4.66 Bn | 309.61 Mn |
| 7 | Dropbox | 7.44 Bn | 3.07 Bn | 506.50 Mn |
| 8 | Nice | 6.72 Bn | 5.19 Bn | 995.81 Mn |
| 9 | RingCentral | 6.26 Bn | 5.75 Bn | 472.31 Mn |
| 10 | Perfect | 163.32 Mn | -539.60 Mn | 13.22 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 24.45 |
| Mar 31, 2026 | 30.57 |
| Dec 31, 2025 | 35.20 |
| Sep 30, 2025 | 29.58 |
| Jun 30, 2025 | 33.40 |
| Mar 31, 2025 | 24.80 |
| Dec 31, 2024 | 47.94 |
| Sep 30, 2024 | 42.55 |
| Jun 30, 2024 | 43.67 |
| Mar 31, 2024 | 67.77 |
| Dec 31, 2023 | 83.46 |
API Access
Perfect Price to Earnings 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=price-to-earnings&ticker=PERF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=PERF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();