Kornit Digital (KRNT) Total Non-Current Liabilities (2014 - 2026)
Kornit Digital (KRNT) recorded Total Non-Current Liabilities of $20.63 million in Q2 2026, up 27.9% from $16.12 million a year earlier and up 20.9% from the prior quarter.
Kornit Digital (KRNT) Total Non-Current Liabilities (2014 - 2026) Analysis & Trends
At the end of FY2025, Kornit Digital reported Total Non-Current Liabilities of $15.94 million, down 1.9% from FY2024.
- Annual Total Non-Current Liabilities has declined for four straight years, with a five-year compound annual growth rate of -4.8% (FY2020 to FY2025).
- Across earlier years, Total Non-Current Liabilities came in at $16.25 million in FY2024 (-18.0%), $19.81 million in FY2023 (-15.6%), $23.47 million in FY2022 (-4.8%) and $24.65 million in FY2021 (+21.1%).
- The Q2 2026 figure is the highest quarterly Total Non-Current Liabilities since Q3 2023.
- On a year-over-year basis, Total Non-Current Liabilities rose in two of the last eight quarters, with an average decline of 3.4%.
- Peak year-over-year performance for Total Non-Current Liabilities in the last five years was growth of 47.1% in Q1 2022, against a decline of 36.3% in Q1 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $17.06 million (Q1 2026), $15.94 million (Q4 2025) and $16.41 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 376.87 Bn | 348.57 Bn | 7.76 Bn | 75.57 Bn |
| 2 | Amphenol | 208.65 Bn | 203.35 Bn | 3.55 Bn | 28.16 Bn |
| 3 | Deere | 185.97 Bn | 194.73 Bn | 4.66 Bn | - |
| 4 | Eaton | 167.50 Bn | 164.73 Bn | 2.86 Bn | 23.97 Bn |
| 5 | Parker-Hannifin | 122.25 Bn | 120.39 Bn | 2.25 Bn | 14.72 Bn |
| 6 | Vertiv Holdings | 93.95 Bn | 84.57 Bn | 1.23 Bn | 10.73 Bn |
| 7 | Emerson Electric | 88.90 Bn | 81.65 Bn | 2.66 Bn | 18.30 Bn |
| 8 | 3M | 87.39 Bn | 68.85 Bn | 2.68 Bn | 23.79 Bn |
| 9 | Illinois Tool Works | 78.00 Bn | 74.56 Bn | 1.90 Bn | 7.65 Bn |
| 10 | Kornit Digital | 740.65 Mn | -802.19 Mn | 25.06 Mn | 20.63 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 20.63 Mn |
| Mar 31, 2026 | 17.06 Mn |
| Dec 31, 2025 | 15.94 Mn |
| Sep 30, 2025 | 16.41 Mn |
| Jun 30, 2025 | 16.12 Mn |
| Mar 31, 2025 | 15.83 Mn |
| Dec 31, 2024 | 16.25 Mn |
| Sep 30, 2024 | 16.74 Mn |
| Jun 30, 2024 | 16.84 Mn |
| Mar 31, 2024 | 17.57 Mn |
| Dec 31, 2023 | 19.81 Mn |
| Sep 30, 2023 | 22.95 Mn |
| Jun 30, 2023 | 24.73 Mn |
| Mar 31, 2023 | 27.57 Mn |
| Dec 31, 2022 | 23.47 Mn |
| Sep 30, 2022 | 23.82 Mn |
| Jun 30, 2022 | 25.68 Mn |
| Mar 31, 2022 | 28.31 Mn |
| Dec 31, 2021 | 24.65 Mn |
| Sep 30, 2021 | 21.88 Mn |
Kornit Digital Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=KRNT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=KRNT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();