Kornit Digital (KRNT) Operating Expenses (2014 - 2026)
Kornit Digital (KRNT) posted Operating Expenses of $39.95 million for Q2 2026, up 26.4% from $31.61 million a year earlier and up 25.3% from the prior quarter.
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Analysis
Kornit Digital (KRNT) Operating Expenses (2014 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Kornit Digital was $135.2 million, up 6.3% year-over-year; for FY2025, it came in at $126.84 million, down 1.7% from FY2024.
- Annual Operating Expenses has declined for three consecutive years, though with a five-year compound annual growth rate of 6.1% (FY2020 to FY2025).
- In prior years, Kornit Digital's Operating Expenses was $129.08 million in FY2024 (-16.4%), $154.49 million in FY2023 (-7.1%), $166.38 million in FY2022 (+19.6%) and $139.12 million in FY2021 (+47.2%).
- The Q2 2026 figure stands as the highest quarterly Operating Expenses since Q4 2023.
- On a year-over-year basis, Operating Expenses increased in two of the last eight quarters, with an average decline of 1.9%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q4 2021, with growth of 52.6%; the weakest was Q4 2024, with a decline of 23.7%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $31.89 million (Q1 2026), $32.22 million (Q4 2025) and $31.14 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 376.87 Bn | 348.57 Bn | 7.76 Bn | 16.25 Bn |
| 2 | Amphenol | 208.65 Bn | 203.35 Bn | 3.55 Bn | 963.40 Mn |
| 3 | Deere | 185.97 Bn | 194.73 Bn | 4.66 Bn | 10.73 Bn |
| 4 | Eaton | 167.50 Bn | 164.73 Bn | 2.86 Bn | 1.46 Bn |
| 5 | Parker-Hannifin | 122.25 Bn | 120.39 Bn | 2.25 Bn | 874.00 Mn |
| 6 | Vertiv Holdings | 93.95 Bn | 84.57 Bn | 1.23 Bn | 490.50 Mn |
| 7 | Emerson Electric | 88.90 Bn | 81.65 Bn | 2.66 Bn | 1.34 Bn |
| 8 | 3M | 87.39 Bn | 68.85 Bn | 2.68 Bn | 5.52 Bn |
| 9 | Illinois Tool Works | 78.00 Bn | 74.56 Bn | 1.90 Bn | - |
| 10 | Kornit Digital | 740.65 Mn | -802.19 Mn | 25.06 Mn | 39.95 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 39.95 Mn |
| Mar 31, 2026 | 31.89 Mn |
| Dec 31, 2025 | 32.22 Mn |
| Sep 30, 2025 | 31.14 Mn |
| Jun 30, 2025 | 31.61 Mn |
| Mar 31, 2025 | 31.87 Mn |
| Dec 31, 2024 | 32.34 Mn |
| Sep 30, 2024 | 31.33 Mn |
| Jun 30, 2024 | 32.98 Mn |
| Mar 31, 2024 | 32.43 Mn |
| Dec 31, 2023 | 42.39 Mn |
| Sep 30, 2023 | 35.28 Mn |
| Jun 30, 2023 | 39.61 Mn |
| Mar 31, 2023 | 37.21 Mn |
| Dec 31, 2022 | 38.06 Mn |
| Sep 30, 2022 | 42.80 Mn |
| Jun 30, 2022 | 45.43 Mn |
| Mar 31, 2022 | 40.31 Mn |
| Dec 31, 2021 | 42.69 Mn |
| Sep 30, 2021 | 36.61 Mn |
API Access
Kornit Digital 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=KRNT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "KRNT", "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=KRNT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();