Knowles (KN) Cost of Revenue (2013 - 2026)
Knowles' Cost of Revenue came in at $92.1 million for Q2 2026, up 12.7% from $81.7 million a year earlier and up 7.2% from the prior quarter.
Knowles (KN) Cost of Revenue (2013 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Knowles reported Cost of Revenue of $350.4 million, up 9.3% year-over-year; for FY2025, it came in at $332.5 million, up 5.0% from FY2024.
- Cost of Revenue carries a five-year compound annual growth rate of -7.5% (FY2020 to FY2025).
- Going back by year, Cost of Revenue was $316.8 million in FY2024 (+25.8%), $251.9 million in FY2023 (unchanged), $251.8 million in FY2022 (-50.5%) and $508.6 million in FY2021 (+3.6%).
- The Q2 2026 figure represents the highest quarterly Cost of Revenue since Q2 2023.
- Year-over-year, Cost of Revenue has increased for five consecutive quarters, with growth averaging 10.3% over the last eight quarters.
- The fastest year-over-year change in Cost of Revenue over five years came in Q3 2024 (growth of 38.3%), and the weakest in Q3 2023 (a decline of 47.8%).
- Business Quant data shows KN's Cost of Revenue at $85.9 million (Q1 2026), $89.6 million (Q4 2025) and $82.8 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 4,874.86 Bn | 4,622.35 Bn | 54.77 Bn | 54.65 Bn |
| 2 | Cisco Systems | 442.74 Bn | 378.67 Bn | 11.06 Bn | 6.19 Bn |
| 3 | Dell Technologies | 360.03 Bn | 315.78 Bn | 9.83 Bn | 37.14 Bn |
| 4 | Arista Networks | 261.51 Bn | 214.96 Bn | 1.91 Bn | 1.13 Bn |
| 5 | Sandisk | 251.12 Bn | 239.64 Bn | 7.58 Bn | 1.38 Bn |
| 6 | Seagate Technology Holdings | 192.54 Bn | 187.54 Bn | 1.90 Bn | 1.73 Bn |
| 7 | Western Digital | 149.92 Bn | 138.05 Bn | 2.03 Bn | 1.72 Bn |
| 8 | Sony | 146.49 Bn | 96.88 Bn | 6.53 Bn | 11.27 Bn |
| 9 | Lumentum Holdings | 96.17 Bn | 87.98 Bn | 477.30 Mn | 509.80 Mn |
| 10 | Knowles | 3.42 Bn | 3.18 Bn | 74.60 Mn | 92.10 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 92.10 Mn |
| Mar 31, 2026 | 85.90 Mn |
| Dec 31, 2025 | 89.60 Mn |
| Sep 30, 2025 | 82.80 Mn |
| Jun 30, 2025 | 81.70 Mn |
| Mar 31, 2025 | 78.40 Mn |
| Dec 31, 2024 | 81.10 Mn |
| Sep 30, 2024 | 79.50 Mn |
| Jun 30, 2024 | 77.10 Mn |
| Mar 31, 2024 | 79.10 Mn |
| Dec 31, 2023 | 79.70 Mn |
| Sep 30, 2023 | 57.50 Mn |
| Jun 30, 2023 | 105.80 Mn |
| Mar 31, 2023 | 90.40 Mn |
| Dec 31, 2022 | -86.70 Mn |
| Sep 30, 2022 | 110.10 Mn |
| Jun 30, 2022 | 110.30 Mn |
| Mar 31, 2022 | 118.10 Mn |
| Dec 31, 2021 | 133.40 Mn |
| Sep 30, 2021 | 136.10 Mn |
Knowles Cost of Revenue 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=cost-of-revenue&ticker=KN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=KN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();