Perfect (PERF) EBITDA (2023 - 2026)
Perfect's EBITDA came in at $138,000 for Q2 2026, compared with -$1.21 million a year earlier and down 92.0% from the prior quarter.
Perfect (PERF) EBITDA (2023 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Perfect reported EBITDA of $2.27 million; for FY2025, it came in at -$712,000.
- Going back by year, EBITDA was -$2.35 million in FY2024, -$4.95 million in FY2023, -$70.31 million in FY2022 and -$4.39 million in FY2021.
- The five-year range for quarterly EBITDA is -$68.64 million (Q4 2022) to $1.72 million (Q1 2026).
- Business Quant data shows PERF's EBITDA at $1.72 million (Q1 2026), -$341,000 (Q4 2025) and $751,000 (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Adobe | 97.58 Bn | 72.83 Bn | 6.00 Bn | 2.57 Bn |
| 2 | Atlassian | 55.96 Bn | 49.24 Bn | 1.53 Bn | 250.15 Mn |
| 3 | Autodesk | 50.57 Bn | 38.61 Bn | 1.87 Bn | 824.00 Mn |
| 4 | Twilio | 39.35 Bn | 29.42 Bn | 725.87 Mn | 130.48 Mn |
| 5 | Zoom Communications | 28.55 Bn | -2.24 Bn | 985.50 Mn | 341.62 Mn |
| 6 | Figma | 11.38 Bn | 4.89 Bn | 309.61 Mn | -117.29 Mn |
| 7 | Dropbox | 8.07 Bn | 3.71 Bn | 506.50 Mn | 206.40 Mn |
| 8 | Nice | 7.10 Bn | 5.56 Bn | 995.81 Mn | 354.97 Mn |
| 9 | RingCentral | 6.67 Bn | 6.16 Bn | 472.31 Mn | 146.67 Mn |
| 10 | Perfect | 201.09 Mn | -386.87 Mn | 13.22 Mn | 138,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 138,000.00 |
| Mar 31, 2026 | 1.72 Mn |
| Dec 31, 2025 | -341,000.00 |
| Sep 30, 2025 | 751,000.00 |
| Jun 30, 2025 | -1.21 Mn |
| Mar 31, 2025 | 84,000.00 |
| Dec 31, 2024 | -263,000.00 |
| Sep 30, 2024 | 133,000.00 |
| Jun 30, 2024 | -1.21 Mn |
| Mar 31, 2024 | -1.01 Mn |
| Dec 31, 2023 | -1.05 Mn |
| Sep 30, 2023 | -656,000.00 |
| Jun 30, 2023 | -1.93 Mn |
Perfect EBITDA 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=ebitda&ticker=PERF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=PERF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();