Kornit Digital (KRNT) Accumulated Expenses (2014 - 2025)
Kornit Digital's Accumulated Expenses was $12.41 million in Q4 2025, up 15.0% from $10.79 million a year earlier.
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Analysis
Kornit Digital (KRNT) Accumulated Expenses (2014 - 2025) Analysis & Trends
From Q4 2014 onward, Kornit Digital has reported Accumulated Expenses for 11 quarters.
- Accumulated Expenses shows a five-year compound annual growth rate of 12.9% (FY2020 to FY2025).
- In earlier years, Accumulated Expenses was $10.79 million in FY2024 (-41.1%), $18.31 million in FY2023 (+1.8%), $17.99 million in FY2022 (+163.1%) and $6.84 million in FY2021 (+1.2%).
- The Q4 2025 figure marks the highest quarterly Accumulated Expenses since Q4 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Caterpillar | 267.46 Bn | 238.77 Bn | 7.35 Bn |
| 2 | Amphenol | 197.37 Bn | 192.21 Bn | 4.02 Bn |
| 3 | Deere | 185.36 Bn | 194.13 Bn | 4.66 Bn |
| 4 | Eaton | 137.64 Bn | 134.62 Bn | 3.11 Bn |
| 5 | Parker-Hannifin | 121.80 Bn | 119.79 Bn | 2.26 Bn |
| 6 | 3M | 97.84 Bn | 80.25 Bn | 2.78 Bn |
| 7 | Emerson Electric | 93.37 Bn | 85.86 Bn | 2.74 Bn |
| 8 | Illinois Tool Works | 81.86 Bn | 78.53 Bn | 1.91 Bn |
| 9 | Vertiv Holdings | 74.77 Bn | 63.62 Bn | 1.64 Bn |
| 10 | Kornit Digital | 808.70 Mn | -734.14 Mn | 25.06 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 12.41 Mn |
| Dec 31, 2024 | 10.79 Mn |
| Dec 31, 2023 | 18.31 Mn |
| Dec 31, 2022 | 17.99 Mn |
| Dec 31, 2021 | 6.84 Mn |
| Dec 31, 2020 | 6.76 Mn |
| Dec 31, 2018 | 1.55 Mn |
| Dec 31, 2017 | 626,000.00 |
| Dec 31, 2016 | 1.28 Mn |
| Dec 31, 2015 | 1.10 Mn |
| Dec 31, 2014 | 858,000.00 |
API Access
Kornit Digital Accumulated 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=accumulated-expenses&ticker=KRNT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=KRNT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();