Knowles (KN) Price to Earnings (2014 - 2026)
Knowles' Price to Earnings came in at 44.27 for Q3 2026, down 7.0% from 47.60 a year earlier and down 15.7% from the prior quarter.
Analysis
Knowles (KN) Price to Earnings (2014 - 2026) Analysis & Trends
For FY2025, Knowles' Price to Earnings was 41.16.
- Going back by year, Price to Earnings was 22.04 in FY2023 and 14.27 in FY2021 (-94.4%).
- The five-year range for quarterly Price to Earnings is 12.79 (Q1 2022) to 61.02 (Q2 2025).
- Business Quant data shows KN's Price to Earnings at 52.49 (Q2 2026), 39.31 (Q1 2026) and 41.16 (Q4 2025) in the three quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Apple | 5,020.54 Bn | 4,766.00 Bn | 54.82 Bn |
| 2 | Cisco Systems | 371.11 Bn | 307.04 Bn | 11.06 Bn |
| 3 | Arista Networks | 215.34 Bn | 164.54 Bn | 2.33 Bn |
| 4 | Dell Technologies | 212.13 Bn | 167.88 Bn | 9.83 Bn |
| 5 | Sony | 161.14 Bn | 95.68 Bn | 7.96 Bn |
| 6 | Sandisk | 122.92 Bn | 107.75 Bn | 9.38 Bn |
| 7 | Seagate Technology Holdings | 105.29 Bn | 100.14 Bn | 2.43 Bn |
| 8 | Western Digital | 96.46 Bn | 86.29 Bn | 2.53 Bn |
| 9 | Hewlett Packard Enterprise | 59.75 Bn | 37.63 Bn | 4.93 Bn |
| 10 | Knowles | 2.66 Bn | 2.47 Bn | 81.30 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 43.91 |
| Jun 30, 2026 | 52.49 |
| Mar 31, 2026 | 39.31 |
| Dec 31, 2025 | 41.16 |
| Sep 30, 2025 | 47.60 |
| Jun 30, 2025 | 61.02 |
| Mar 31, 2024 | 18.04 |
| Dec 31, 2023 | 22.04 |
| Mar 31, 2022 | 12.79 |
| Dec 31, 2021 | 14.27 |
| Sep 30, 2021 | 19.80 |
| Jun 30, 2021 | 27.81 |
| Mar 31, 2021 | 68.81 |
| Dec 31, 2020 | 255.82 |
| Jun 30, 2020 | 80.83 |
| Mar 31, 2020 | 28.68 |
| Dec 31, 2019 | 39.50 |
| Sep 30, 2019 | 17.21 |
| Jun 30, 2019 | 25.05 |
| Mar 31, 2019 | 24.54 |
API Access
Knowles Price to Earnings 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=price-to-earnings&ticker=KN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=KN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();