Perfect (PERF) Change in Receivables (2023 - 2026)
Perfect's Change in Receivables was $721,000 in Q2 2026, up 58.1% from $456,000 a year earlier and up 38.1% from the prior quarter.
Perfect (PERF) Change in Receivables (2023 - 2026) Analysis & Trends
On a trailing twelve-month basis, Perfect's Change in Receivables was $2.08 million through Jun 30, 2026; for FY2025, it was -$480,000.
- In earlier years, Change in Receivables was $2.3 million in FY2024, -$759,000 in FY2023, $1.48 million in FY2022 (+39.7%) and $1.06 million in FY2021.
- Quarterly Change in Receivables has moved between -$1.5 million (Q3 2024) and $1.97 million (Q4 2025) over five years.
- Per Business Quant data, PERF's Change in Receivables in the three quarters before Q2 2026 was $522,000 (Q1 2026), $1.97 million (Q4 2025) and -$1.13 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Adobe | 94.52 Bn | 69.77 Bn | 6.00 Bn | 90.00 Mn |
| 2 | Autodesk | 54.99 Bn | 43.02 Bn | 1.87 Bn | 106.00 Mn |
| 3 | Atlassian | 39.98 Bn | 33.26 Bn | 1.53 Bn | 362.70 Mn |
| 4 | Twilio | 30.87 Bn | 20.51 Bn | 760.53 Mn | -271,000.00 |
| 5 | Zoom Communications | 26.33 Bn | -4.40 Bn | 985.50 Mn | 64.94 Mn |
| 6 | Figma | 10.00 Bn | 3.32 Bn | 314.44 Mn | 22.84 Mn |
| 7 | Dropbox | 7.80 Bn | 3.43 Bn | 506.50 Mn | 2.10 Mn |
| 8 | Open Text | 6.19 Bn | 1.62 Bn | 1.01 Bn | 99.54 Mn |
| 9 | RingCentral | 6.04 Bn | 5.57 Bn | 494.30 Mn | -7.31 Mn |
| 10 | Perfect | 170.12 Mn | -417.85 Mn | 13.22 Mn | 721,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 721,000.00 |
| Mar 31, 2026 | 522,000.00 |
| Dec 31, 2025 | 1.97 Mn |
| Sep 30, 2025 | -1.13 Mn |
| Jun 30, 2025 | 456,000.00 |
| Mar 31, 2025 | -815,000.00 |
| Dec 31, 2024 | -665,000.00 |
| Sep 30, 2024 | -1.50 Mn |
| Jun 30, 2024 | 589,000.00 |
| Mar 31, 2024 | -723,000.00 |
| Dec 31, 2023 | -302,000.00 |
| Sep 30, 2023 | 974,000.00 |
| Jun 30, 2023 | 1.72 Mn |
Perfect Change in Receivables 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-receivables&ticker=PERF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-receivables", "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-receivables&ticker=PERF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();