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.
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Analysis
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 Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 5,048.00 Bn | 4,795.49 Bn | 54.77 Bn | 275.75 Bn |
| 2 | Cisco Systems | 435.42 Bn | 371.35 Bn | 11.06 Bn | 79.35 Bn |
| 3 | Dell Technologies | 318.09 Bn | 273.85 Bn | 9.83 Bn | 128.82 Bn |
| 4 | Arista Networks | 236.13 Bn | 189.58 Bn | 1.91 Bn | 8.92 Bn |
| 5 | Sandisk | 205.67 Bn | 194.19 Bn | 7.58 Bn | 6.77 Bn |
| 6 | Seagate Technology Holdings | 152.10 Bn | 152.10 Bn | - | 6.87 Bn |
| 7 | Sony | 150.62 Bn | 87.89 Bn | 6.53 Bn | 44.91 Bn |
| 8 | Western Digital | 144.41 Bn | 134.24 Bn | 2.53 Bn | 4.89 Bn |
| 9 | Hewlett Packard Enterprise | 80.61 Bn | 58.49 Bn | 4.93 Bn | 57.02 Bn |
| 10 | Knowles | 2.97 Bn | 2.78 Bn | 81.30 Mn | 276.90 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 276.90 Mn |
| 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 |
API Access
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_KEYimport 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();