Knowles (KN) Total Non-Current Liabilities (2013 - 2026)
Knowles (KN) reported Total Non-Current Liabilities of $248.1 million for Q2 2026, down 18.5% from $304.5 million a year earlier but up 4.0% from the prior quarter.
Knowles (KN) Total Non-Current Liabilities (2013 - 2026) Analysis & Trends
At the end of FY2025, Knowles posted Total Non-Current Liabilities of $237.1 million, down 30.0% from FY2024.
- Total Non-Current Liabilities has a five-year compound annual growth rate of -5.7% (FY2020 to FY2025).
- By year, Total Non-Current Liabilities came in at $338.5 million in FY2024 (-15.2%), $399.4 million in FY2023 (+162.4%), $152.2 million in FY2022 (-39.5%) and $251.5 million in FY2021 (-21.1%).
- Five-year quarterly Total Non-Current Liabilities spans a low of $113 million in Q2 2023 and a high of $701.4 million in Q1 2024.
- Year over year, Total Non-Current Liabilities has now declined in each of the last seven quarters, with an average decline of 6.6% over the last eight quarters.
- The high point for year-over-year Total Non-Current Liabilities in five years was Q1 2024 (growth of 433.8%); the low point was Q1 2025 (a decline of 56.5%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $238.6 million (Q1 2026), $237.1 million (Q4 2025) and $298 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 5,049.62 Bn | 4,797.11 Bn | 54.77 Bn | 126.42 Bn |
| 2 | Cisco Systems | 435.11 Bn | 371.04 Bn | 11.06 Bn | 73.69 Bn |
| 3 | Dell Technologies | 318.95 Bn | 274.70 Bn | 9.83 Bn | 124.65 Bn |
| 4 | Arista Networks | 234.71 Bn | 188.16 Bn | 1.91 Bn | 8.58 Bn |
| 5 | Sandisk | 203.18 Bn | 191.70 Bn | 7.58 Bn | 6.14 Bn |
| 6 | Sony | 150.03 Bn | 87.29 Bn | 6.53 Bn | 14.55 Bn |
| 7 | Seagate Technology Holdings | 149.86 Bn | 149.86 Bn | - | - |
| 8 | Western Digital | 143.48 Bn | 133.31 Bn | 2.53 Bn | 4.09 Bn |
| 9 | Hewlett Packard Enterprise | 80.52 Bn | 58.40 Bn | 4.93 Bn | 47.78 Bn |
| 10 | Knowles | 2.96 Bn | 2.77 Bn | 81.30 Mn | 243.40 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 243.40 Mn |
| Jun 30, 2026 | 248.10 Mn |
| Mar 31, 2026 | 238.60 Mn |
| Dec 31, 2025 | 237.10 Mn |
| Sep 30, 2025 | 298.00 Mn |
| Jun 30, 2025 | 304.50 Mn |
| Mar 31, 2025 | 305.00 Mn |
| Dec 31, 2024 | 338.50 Mn |
| Sep 30, 2024 | 369.90 Mn |
| Jun 30, 2024 | 399.00 Mn |
| Mar 31, 2024 | 701.40 Mn |
| Dec 31, 2023 | 399.40 Mn |
| Sep 30, 2023 | 159.10 Mn |
| Jun 30, 2023 | 113.00 Mn |
| Mar 31, 2023 | 131.40 Mn |
| Dec 31, 2022 | 152.20 Mn |
| Sep 30, 2022 | 218.20 Mn |
| Jun 30, 2022 | 232.70 Mn |
| Mar 31, 2022 | 226.10 Mn |
| Dec 31, 2021 | 251.50 Mn |
Knowles 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=KN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "KN", "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=KN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();