Knowles (KN) Total Liabilities (2013 - 2026)
Knowles (KN) recorded Total Liabilities of $280.5 million in Q2 2026, down 18.0% from $342.2 million a year earlier but up 2.5% from the prior quarter.
Knowles (KN) Total Liabilities (2013 - 2026) Analysis & Trends
At the end of FY2025, Knowles reported Total Liabilities of $275.3 million, down 24.0% from FY2024.
- Annual Total Liabilities has a five-year compound annual growth rate of -4.8% (FY2020 to FY2025).
- Across earlier years, Total Liabilities came in at $362.2 million in FY2024 (-15.5%), $428.7 million in FY2023 (+124.5%), $191 million in FY2022 (-29.8%) and $272.1 million in FY2021 (-22.6%).
- Quarterly Total Liabilities has ranged from $141.9 million in Q2 2023 to $727.4 million in Q1 2024 over the past five years.
- On a year-over-year basis, Total Liabilities has declined for seven consecutive quarters, with an average decline of 7.0% over the last eight quarters.
- Peak year-over-year performance for Total Liabilities in the last five years was growth of 350.7% in Q1 2024, against a decline of 53.1% in Q1 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $273.7 million (Q1 2026), $275.3 million (Q4 2025) and $336.4 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 4,943.67 Bn | 4,691.16 Bn | 54.77 Bn | 275.75 Bn |
| 2 | Cisco Systems | 421.20 Bn | 357.13 Bn | 11.06 Bn | 79.35 Bn |
| 3 | Dell Technologies | 347.85 Bn | 303.60 Bn | 9.83 Bn | 128.82 Bn |
| 4 | Arista Networks | 258.42 Bn | 211.87 Bn | 1.91 Bn | 8.92 Bn |
| 5 | Sandisk | 250.08 Bn | 238.60 Bn | 7.58 Bn | 6.77 Bn |
| 6 | Seagate Technology Holdings | 208.99 Bn | 203.98 Bn | 1.90 Bn | 7.81 Bn |
| 7 | Western Digital | 163.62 Bn | 151.74 Bn | 2.03 Bn | 5.00 Bn |
| 8 | Sony | 143.48 Bn | 93.86 Bn | 6.53 Bn | 48.17 Bn |
| 9 | Hewlett Packard Enterprise | 83.23 Bn | 61.11 Bn | 4.93 Bn | 57.02 Bn |
| 10 | Knowles | 3.18 Bn | 2.94 Bn | 74.60 Mn | 280.50 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 280.50 Mn |
| Mar 31, 2026 | 273.70 Mn |
| Dec 31, 2025 | 275.30 Mn |
| Sep 30, 2025 | 336.40 Mn |
| Jun 30, 2025 | 342.20 Mn |
| Mar 31, 2025 | 341.30 Mn |
| Dec 31, 2024 | 362.20 Mn |
| Sep 30, 2024 | 393.90 Mn |
| Jun 30, 2024 | 425.10 Mn |
| Mar 31, 2024 | 727.40 Mn |
| Dec 31, 2023 | 428.70 Mn |
| Sep 30, 2023 | 188.90 Mn |
| Jun 30, 2023 | 141.90 Mn |
| Mar 31, 2023 | 161.40 Mn |
| Dec 31, 2022 | 191.00 Mn |
| Sep 30, 2022 | 256.50 Mn |
| Jun 30, 2022 | 254.80 Mn |
| Mar 31, 2022 | 244.60 Mn |
| Dec 31, 2021 | 272.10 Mn |
| Sep 30, 2021 | 357.10 Mn |
Knowles 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=KN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=KN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();