Knowles (KN) EBITDA (2013 - 2026)
Knowles (KN) posted EBITDA of $34.4 million for Q2 2026, up 44.5% from $23.8 million a year earlier and up 37.1% from the prior quarter.
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Analysis
Knowles (KN) EBITDA (2013 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBITDA at Knowles was $129.3 million, up 37.8% year-over-year; for FY2025, it was $106.6 million, up 4.4% from FY2024.
- Annual EBITDA shows a five-year compound annual growth rate of 3.5% (FY2020 to FY2025).
- In prior years, Knowles' EBITDA was $102.1 million in FY2024 (+13.6%), $89.9 million in FY2023 (-37.9%), $144.7 million in FY2022 (-18.8%) and $178.3 million in FY2021 (+98.6%).
- Quarterly EBITDA has run from a low of -$200.6 million in Q2 2022 to a high of $310.9 million in Q4 2022 over five years.
- On a year-over-year basis, EBITDA has increased in each of the last four quarters, with growth averaging 24.4% over the last eight quarters.
- The strongest year-over-year quarter for EBITDA in the past five years was Q4 2022, with growth of 450.3%; the weakest was Q4 2023, with a decline of 92.3%.
- According to Business Quant data, EBITDA for the three prior quarters was $25.1 million (Q1 2026), $35 million (Q4 2025) and $34.8 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 4,943.67 Bn | 4,691.16 Bn | 54.77 Bn | 39.02 Bn |
| 2 | Cisco Systems | 421.20 Bn | 357.13 Bn | 11.06 Bn | 4.90 Bn |
| 3 | Dell Technologies | 347.85 Bn | 303.60 Bn | 9.83 Bn | 6.14 Bn |
| 4 | Arista Networks | 258.42 Bn | 211.87 Bn | 1.91 Bn | 1.40 Bn |
| 5 | Sandisk | 250.08 Bn | 238.60 Bn | 7.58 Bn | 7.07 Bn |
| 6 | Seagate Technology Holdings | 208.99 Bn | 203.98 Bn | 1.90 Bn | 1.63 Bn |
| 7 | Western Digital | 163.62 Bn | 151.74 Bn | 2.03 Bn | 1.66 Bn |
| 8 | Sony | 143.48 Bn | 93.86 Bn | 6.53 Bn | 4.56 Bn |
| 9 | Hewlett Packard Enterprise | 83.23 Bn | 61.11 Bn | 4.93 Bn | 2.26 Bn |
| 10 | Knowles | 3.18 Bn | 2.94 Bn | 74.60 Mn | 34.40 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 34.40 Mn |
| Mar 31, 2026 | 25.10 Mn |
| Dec 31, 2025 | 35.00 Mn |
| Sep 30, 2025 | 34.80 Mn |
| Jun 30, 2025 | 23.80 Mn |
| Mar 31, 2025 | 13.00 Mn |
| Dec 31, 2024 | 25.00 Mn |
| Sep 30, 2024 | 32.00 Mn |
| Jun 30, 2024 | 26.10 Mn |
| Mar 31, 2024 | 19.00 Mn |
| Dec 31, 2023 | 24.00 Mn |
| Sep 30, 2023 | 22.00 Mn |
| Jun 30, 2023 | 28.00 Mn |
| Mar 31, 2023 | 11.10 Mn |
| Dec 31, 2022 | 310.90 Mn |
| Sep 30, 2022 | -1.70 Mn |
| Jun 30, 2022 | -200.60 Mn |
| Mar 31, 2022 | 36.10 Mn |
| Dec 31, 2021 | 56.50 Mn |
| Sep 30, 2021 | 50.40 Mn |
API Access
Knowles EBITDA 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=ebitda&ticker=KN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=KN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();