Perfect (PERF) Total Liabilities (2020 - 2026)
Perfect's Total Liabilities was $37.68 million in Q2 2026, down 4.7% from $39.53 million a year earlier and down 4.1% from the prior quarter.
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Analysis
Perfect (PERF) Total Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Total Liabilities at Perfect came in at -$151.2 million.
- In earlier years, Total Liabilities was -$145.12 million in FY2024, $30.96 million in FY2023 (+9.4%), $28.31 million in FY2022 (-89.9%) and $279.35 million in FY2021.
- Quarterly Total Liabilities has moved between -$151.2 million (Q4 2025) and $279.35 million (Q4 2021) over five years.
- Compared with a year earlier, Total Liabilities was higher in five of the last six quarters, with growth averaging 11.8%.
- The best year-over-year quarter for Total Liabilities over five years was Q2 2025 (growth of 24.1%); the worst was Q4 2022 (a decline of 89.9%).
- Per Business Quant data, PERF's Total Liabilities in the three quarters before Q2 2026 was $39.31 million (Q1 2026), -$151.2 million (Q4 2025) and $41.25 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Adobe | 97.58 Bn | 72.83 Bn | 6.00 Bn | 18.22 Bn |
| 2 | Atlassian | 55.96 Bn | 49.24 Bn | 1.53 Bn | 5.05 Bn |
| 3 | Autodesk | 50.57 Bn | 38.61 Bn | 1.87 Bn | 9.60 Bn |
| 4 | Twilio | 39.35 Bn | 29.42 Bn | 725.87 Mn | 1.86 Bn |
| 5 | Zoom Communications | 28.55 Bn | -2.24 Bn | 985.50 Mn | 2.28 Bn |
| 6 | Figma | 11.38 Bn | 4.89 Bn | 309.61 Mn | 873.37 Mn |
| 7 | Dropbox | 8.07 Bn | 3.71 Bn | 506.50 Mn | 5.01 Bn |
| 8 | Nice | 7.10 Bn | 5.56 Bn | 995.81 Mn | - |
| 9 | RingCentral | 6.67 Bn | 6.16 Bn | 472.31 Mn | 1.99 Bn |
| 10 | Perfect | 201.09 Mn | -386.87 Mn | 13.22 Mn | 37.68 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 37.68 Mn |
| Mar 31, 2026 | 39.31 Mn |
| Dec 31, 2025 | 38.88 Mn |
| Sep 30, 2025 | 41.25 Mn |
| Jun 30, 2025 | 39.53 Mn |
| Mar 31, 2025 | 37.23 Mn |
| Dec 31, 2024 | 34.16 Mn |
| Sep 30, 2024 | 34.11 Mn |
| Jun 30, 2024 | 31.84 Mn |
| Mar 31, 2024 | 33.14 Mn |
| Dec 31, 2023 | 30.96 Mn |
| Sep 30, 2023 | 30.34 Mn |
| Jun 30, 2023 | 30.88 Mn |
| Mar 31, 2023 | 30.68 Mn |
| Dec 31, 2022 | 28.31 Mn |
| Sep 30, 2022 | 253.31 Mn |
| Dec 31, 2021 | 279.35 Mn |
| Dec 31, 2020 | 108.43 Mn |
API Access
Perfect Total Liabilities 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=total-liabilities&ticker=PERF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=PERF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();