Perfect (PERF) Total Non-Current Liabilities (2021 - 2026)
Perfect's Total Non-Current Liabilities was $726,000 in Q2 2026, down 53.8% from $1.57 million a year earlier and down 27.4% from the prior quarter.
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Analysis
Perfect (PERF) Total Non-Current Liabilities (2021 - 2026) Analysis & Trends
At the end of FY2025, Total Non-Current Liabilities at Perfect came in at $1.21 million, down 37.9% from FY2024.
- Total Non-Current Liabilities has now declined for four consecutive years, with a four-year compound annual growth rate of -73.9% (FY2021 to FY2025).
- In earlier years, Total Non-Current Liabilities was $1.95 million in FY2024 (-5.3%), $2.06 million in FY2023 (-39.4%), $3.39 million in FY2022 (-98.7%) and $259.55 million in FY2021.
- The Q2 2026 figure marks the lowest quarterly Total Non-Current Liabilities in data going back to Q4 2021.
- Compared with a year earlier, Total Non-Current Liabilities has declined for 12 straight quarters, with an average decline of 26.2% over the last eight quarters.
- Over the past five years, the year-over-year decline in Total Non-Current Liabilities ranged from 4.4% (Q3 2024) to 99.2% (Q3 2023).
- Per Business Quant data, PERF's Total Non-Current Liabilities in the three quarters before Q2 2026 was $1 million (Q1 2026), $1.21 million (Q4 2025) and $1.12 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Adobe | 100.76 Bn | 76.01 Bn | 6.00 Bn | 17.07 Bn |
| 2 | Atlassian | 57.35 Bn | 50.63 Bn | 1.53 Bn | 4.95 Bn |
| 3 | Autodesk | 51.36 Bn | 39.39 Bn | 1.87 Bn | 9.06 Bn |
| 4 | Twilio | 39.58 Bn | 29.65 Bn | 725.87 Mn | 1.85 Bn |
| 5 | Zoom Communications | 28.40 Bn | -2.39 Bn | 985.50 Mn | 2.17 Bn |
| 6 | Figma | 12.13 Bn | 5.63 Bn | 309.61 Mn | 865.77 Mn |
| 7 | Dropbox | 8.16 Bn | 3.80 Bn | 506.50 Mn | 4.94 Bn |
| 8 | Nice | 7.16 Bn | 5.63 Bn | 995.81 Mn | 238.53 Mn |
| 9 | RingCentral | 6.84 Bn | 6.33 Bn | 472.31 Mn | 1.96 Bn |
| 10 | Perfect | 202.17 Mn | -385.79 Mn | 13.22 Mn | 726,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 726,000.00 |
| Mar 31, 2026 | 1.00 Mn |
| Dec 31, 2025 | 1.21 Mn |
| Sep 30, 2025 | 1.12 Mn |
| Jun 30, 2025 | 1.57 Mn |
| Mar 31, 2025 | 1.32 Mn |
| Dec 31, 2024 | 1.95 Mn |
| Sep 30, 2024 | 1.74 Mn |
| Jun 30, 2024 | 1.81 Mn |
| Mar 31, 2024 | 2.04 Mn |
| Dec 31, 2023 | 2.06 Mn |
| Sep 30, 2023 | 1.82 Mn |
| Jun 30, 2023 | 4.01 Mn |
| Mar 31, 2023 | 3.47 Mn |
| Dec 31, 2022 | 3.39 Mn |
| Sep 30, 2022 | 231.11 Mn |
| Dec 31, 2021 | 259.55 Mn |
API Access
Perfect Total Non-Current 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-non-current-liabilities&ticker=PERF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=PERF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();