Perion Network (PERI) Total Non-Current Liabilities (2009 - 2026)
Perion Network's Total Non-Current Liabilities was $48.25 million in Q2 2026, up 32.0% from $36.56 million a year earlier but down 1.5% from the prior quarter.
Perion Network (PERI) Total Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Total Non-Current Liabilities at Perion Network came in at $49.17 million, up 142.4% from FY2024.
- Total Non-Current Liabilities shows a five-year compound annual growth rate of -2.0% (FY2020 to FY2025).
- In earlier years, Total Non-Current Liabilities was $20.29 million in FY2024 (+59.9%), $12.69 million in FY2023 (-75.8%), $52.48 million in FY2022 (-0.2%) and $52.57 million in FY2021 (-3.5%).
- Quarterly Total Non-Current Liabilities has moved between $12.43 million (Q4 2023) and $52.57 million (Q4 2021) over five years.
- Compared with a year earlier, Total Non-Current Liabilities has increased for nine straight quarters, with growth averaging 68.4% over the last eight quarters.
- The best year-over-year quarter for Total Non-Current Liabilities over five years was Q4 2025 (growth of 144.6%); the worst was Q4 2023 (a decline of 76.3%).
- Per Business Quant data, PERI's Total Non-Current Liabilities in the three quarters before Q2 2026 was $48.98 million (Q1 2026), $49.17 million (Q4 2025) and $39.8 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,142.52 Bn | 3,900.05 Bn | 73.85 Bn | 270.20 Bn |
| 2 | Meta Platforms | 1,882.44 Bn | 1,584.96 Bn | 49.47 Bn | 170.41 Bn |
| 3 | Netflix | 292.72 Bn | 252.92 Bn | 6.52 Bn | 25.59 Bn |
| 4 | Alibaba Group Holding | 250.25 Bn | 68.12 Bn | 15.11 Bn | 121.77 Bn |
| 5 | Shopify | 192.03 Bn | 169.21 Bn | 1.71 Bn | 326.00 Mn |
| 6 | Uber Technologies | 141.56 Bn | 113.53 Bn | 6.38 Bn | 37.14 Bn |
| 7 | Booking Holdings | 121.98 Bn | 55.03 Bn | - | 39.77 Bn |
| 8 | PDD Holdings | 110.31 Bn | -141.62 Bn | 9.45 Bn | 428.00 Mn |
| 9 | AppLovin | 102.49 Bn | 92.52 Bn | 1.70 Bn | 4.77 Bn |
| 10 | Perion Network | 335.61 Mn | -175.69 Mn | 87.10 Mn | 48.25 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 48.25 Mn |
| Mar 31, 2026 | 48.98 Mn |
| Dec 31, 2025 | 49.17 Mn |
| Sep 30, 2025 | 39.80 Mn |
| Jun 30, 2025 | 36.56 Mn |
| Mar 31, 2025 | 28.90 Mn |
| Dec 31, 2024 | 20.10 Mn |
| Sep 30, 2024 | 21.45 Mn |
| Jun 30, 2024 | 33.93 Mn |
| Mar 31, 2024 | 13.43 Mn |
| Dec 31, 2023 | 12.43 Mn |
| Sep 30, 2023 | 16.44 Mn |
| Jun 30, 2023 | 16.29 Mn |
| Mar 31, 2023 | 20.20 Mn |
| Dec 31, 2022 | 52.48 Mn |
| Sep 30, 2022 | 49.04 Mn |
| Jun 30, 2022 | 39.09 Mn |
| Mar 31, 2022 | 51.86 Mn |
| Dec 31, 2021 | 52.57 Mn |
| Sep 30, 2021 | 23.20 Mn |
Perion Network 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=PERI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "PERI", "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=PERI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();