Perfect (PERF) Change in Taxes (2023 - 2026)
Perfect (PERF) posted Change in Taxes of -$1.05 million for Q2 2026, compared with -$575,000 a year earlier.
Analysis
Perfect (PERF) Change in Taxes (2023 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Change in Taxes at Perfect was -$1.41 million; for FY2025, it was -$1.07 million.
- In prior years, Perfect's Change in Taxes was -$407,000 in FY2024, -$502,000 in FY2023, -$343,000 in FY2022 and -$664,000 in FY2021.
- The Q2 2026 figure stands as the lowest quarterly Change in Taxes in data going back to Q2 2023.
- According to Business Quant data, Change in Taxes for the three prior quarters was -$114,000 (Q1 2026), -$65,000 (Q4 2025) and -$186,000 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Adobe | 93.82 Bn | 69.07 Bn | 6.00 Bn | 56.00 Mn |
| 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 | 6.00 Mn |
| 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 | -1.05 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -1.05 Mn |
| Mar 31, 2026 | -114,000.00 |
| Dec 31, 2025 | -65,000.00 |
| Sep 30, 2025 | -186,000.00 |
| Jun 30, 2025 | -575,000.00 |
| Mar 31, 2025 | -246,000.00 |
| Dec 31, 2024 | -73,000.00 |
| Sep 30, 2024 | -158,000.00 |
| Jun 30, 2024 | -62,000.00 |
| Mar 31, 2024 | -114,000.00 |
| Dec 31, 2023 | -155,000.00 |
| Sep 30, 2023 | -142,000.00 |
| Jun 30, 2023 | -26,000.00 |
API Access
Perfect Change in Taxes 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=change-in-taxes&ticker=PERF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-taxes", "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=change-in-taxes&ticker=PERF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();