Knowles (KN) Operating Expenses (2013 - 2026)
Knowles' Operating Expenses was $49.9 million in Q2 2026, up 8.7% from $45.9 million a year earlier but down 2.5% from the prior quarter.
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Analysis
Knowles (KN) Operating Expenses (2013 - 2026) Analysis & Trends
On a trailing twelve-month basis, Knowles' Operating Expenses was $191.9 million through Jun 30, 2026, up 3.8% year-over-year; for FY2025, it was $186 million, up 1.6% from FY2024.
- Operating Expenses has now increased for three consecutive years, though with a five-year compound annual growth rate of -5.1% (FY2020 to FY2025).
- In earlier years, Operating Expenses was $183 million in FY2024 (+14.1%), $160.4 million in FY2023 (+17.8%), $136.2 million in FY2022 (-44.1%) and $243.7 million in FY2021 (+0.7%).
- Quarterly Operating Expenses has moved between -$272.7 million (Q4 2022) and $292.3 million (Q2 2022) over five years.
- Compared with a year earlier, Operating Expenses has increased for three straight quarters, with growth averaging 3.6% over the last eight quarters.
- The best year-over-year quarter for Operating Expenses over five years was Q2 2022 (growth of 376.1%); the worst was Q2 2023 (a decline of 80.6%).
- Per Business Quant data, KN's Operating Expenses in the three quarters before Q2 2026 was $51.2 million (Q1 2026), $46.7 million (Q4 2025) and $44.1 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 4,943.67 Bn | 4,691.16 Bn | 54.77 Bn | 19.08 Bn |
| 2 | Cisco Systems | 421.20 Bn | 357.13 Bn | 11.06 Bn | 6.80 Bn |
| 3 | Dell Technologies | 347.85 Bn | 303.60 Bn | 9.83 Bn | 4.45 Bn |
| 4 | Arista Networks | 258.42 Bn | 211.87 Bn | 1.91 Bn | 532.30 Mn |
| 5 | Sandisk | 250.08 Bn | 238.60 Bn | 7.58 Bn | 545.00 Mn |
| 6 | Seagate Technology Holdings | 208.99 Bn | 203.98 Bn | 1.90 Bn | 2.07 Bn |
| 7 | Western Digital | 163.62 Bn | 151.74 Bn | 2.03 Bn | 465.00 Mn |
| 8 | Sony | 143.48 Bn | 93.86 Bn | 6.53 Bn | 14.83 Bn |
| 9 | Hewlett Packard Enterprise | 83.23 Bn | 61.11 Bn | 4.93 Bn | 10.82 Bn |
| 10 | Knowles | 3.18 Bn | 2.94 Bn | 74.60 Mn | 49.90 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 49.90 Mn |
| Mar 31, 2026 | 51.20 Mn |
| Dec 31, 2025 | 46.70 Mn |
| Sep 30, 2025 | 44.10 Mn |
| Jun 30, 2025 | 45.90 Mn |
| Mar 31, 2025 | 49.30 Mn |
| Dec 31, 2024 | 45.50 Mn |
| Sep 30, 2024 | 44.20 Mn |
| Jun 30, 2024 | 45.10 Mn |
| Mar 31, 2024 | 48.20 Mn |
| Dec 31, 2023 | 47.30 Mn |
| Sep 30, 2023 | 39.00 Mn |
| Jun 30, 2023 | 56.80 Mn |
| Mar 31, 2023 | 54.80 Mn |
| Dec 31, 2022 | -272.70 Mn |
| Sep 30, 2022 | 54.60 Mn |
| Jun 30, 2022 | 292.30 Mn |
| Mar 31, 2022 | 62.00 Mn |
| Dec 31, 2021 | 60.30 Mn |
| Sep 30, 2021 | 62.30 Mn |
API Access
Knowles Operating Expenses 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=operating-expenses&ticker=KN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=KN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();