Kornit Digital (KRNT) Selling, General & Administrative (2014 - 2026)
Powered by 
Analysis
Kornit Digital (KRNT) Selling, General & Administrative (2014 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 267.46 Bn | 238.77 Bn | 7.35 Bn | 1.80 Bn |
| 2 | Amphenol | 197.37 Bn | 192.21 Bn | 4.02 Bn | 979.90 Mn |
| 3 | Deere | 185.36 Bn | 194.13 Bn | 4.66 Bn | 1.22 Bn |
| 4 | Eaton | 137.64 Bn | 134.62 Bn | 3.11 Bn | 1.28 Bn |
| 5 | Parker-Hannifin | 121.80 Bn | 119.79 Bn | 2.26 Bn | 1.07 Bn |
| 6 | 3M | 97.84 Bn | 80.25 Bn | 2.78 Bn | 921.00 Mn |
| 7 | Emerson Electric | 93.37 Bn | 85.86 Bn | 2.74 Bn | 1.39 Bn |
| 8 | Illinois Tool Works | 81.86 Bn | 78.53 Bn | 1.91 Bn | 717.00 Mn |
| 9 | Vertiv Holdings | 74.77 Bn | 63.62 Bn | 1.64 Bn | 556.90 Mn |
| 10 | Kornit Digital | 808.70 Mn | -734.14 Mn | 25.06 Mn | 12.71 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 12.71 Mn |
| Mar 31, 2026 | 1.47 Mn |
| Dec 31, 2025 | 7.36 Mn |
| Sep 30, 2025 | 7.91 Mn |
| Jun 30, 2025 | 7.47 Mn |
| Mar 31, 2025 | 1.67 Mn |
| Dec 31, 2024 | 7.36 Mn |
| Sep 30, 2024 | 6.92 Mn |
| Jun 30, 2024 | 7.53 Mn |
| Mar 31, 2024 | 7.28 Mn |
| Dec 31, 2023 | 12.45 Mn |
| Sep 30, 2023 | 7.65 Mn |
| Jun 30, 2023 | 8.54 Mn |
| Mar 31, 2023 | 8.95 Mn |
| Dec 31, 2022 | 8.66 Mn |
| Sep 30, 2022 | 10.62 Mn |
| Jun 30, 2022 | 10.25 Mn |
| Mar 31, 2022 | 9.77 Mn |
| Dec 31, 2021 | 11.67 Mn |
| Sep 30, 2021 | 9.28 Mn |
API Access
Kornit Digital Selling, General & Administrative 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=selling-general-and-administrative&ticker=KRNT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=KRNT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();