Perfect (PERF) Net Cash Flow (2023 - 2026)
Perfect's Net Cash Flow was $5.03 million in Q2 2026, compared with -$3.21 million a year earlier.
Perfect (PERF) Net Cash Flow (2023 - 2026) Analysis & Trends
On a trailing twelve-month basis, Perfect's Net Cash Flow was $659,000 through Jun 30, 2026, down 83.7% year-over-year; for FY2025, it came in at -$1.32 million.
- In earlier years, Net Cash Flow was $3.6 million in FY2024, -$38.56 million in FY2023, $84.47 million in FY2022 and $1.27 million in FY2021 (-97.4%).
- The Q2 2026 figure marks the highest quarterly Net Cash Flow since Q3 2024.
- Per Business Quant data, PERF's Net Cash Flow in the three quarters before Q2 2026 was -$5.27 million (Q1 2026), -$1.73 million (Q4 2025) and $2.63 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | NCF (Qtr) |
|---|---|---|---|---|---|
| 1 | Adobe | 92.94 Bn | 68.19 Bn | 6.00 Bn | -560.00 Mn |
| 2 | Atlassian | 48.88 Bn | 42.16 Bn | 1.53 Bn | 113.40 Mn |
| 3 | Twilio | 45.24 Bn | 35.23 Bn | 725.87 Mn | 281.29 Mn |
| 4 | Autodesk | 44.31 Bn | 32.34 Bn | 1.87 Bn | 1.43 Bn |
| 5 | Zoom Communications | 27.15 Bn | -3.64 Bn | 985.50 Mn | - |
| 6 | Figma | 11.33 Bn | 4.84 Bn | 309.61 Mn | - |
| 7 | Dropbox | 7.45 Bn | 3.08 Bn | 506.50 Mn | -152.30 Mn |
| 8 | Nice | 6.88 Bn | 5.35 Bn | 995.81 Mn | -62.28 Mn |
| 9 | RingCentral | 6.55 Bn | 6.05 Bn | 472.31 Mn | -5.18 Mn |
| 10 | Perfect | 162.46 Mn | -540.45 Mn | 13.22 Mn | 5.03 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.03 Mn |
| Mar 31, 2026 | -5.27 Mn |
| Dec 31, 2025 | -1.73 Mn |
| Sep 30, 2025 | 2.63 Mn |
| Jun 30, 2025 | -3.21 Mn |
| Mar 31, 2025 | 987,000.00 |
| Dec 31, 2024 | 333,000.00 |
| Sep 30, 2024 | 5.93 Mn |
| Jun 30, 2024 | -985,000.00 |
| Mar 31, 2024 | -1.68 Mn |
| Dec 31, 2023 | 8.73 Mn |
| Sep 30, 2023 | 77.90 Mn |
| Jun 30, 2023 | -57.70 Mn |
Perfect Net Cash Flow 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=net-cash-flow&ticker=PERF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-cash-flow", "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=net-cash-flow&ticker=PERF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();