National Presto Industries (NPK) Total Non-Current Liabilities (2019 - 2026)
National Presto Industries' Total Non-Current Liabilities came in at $85.62 million for Q2 2026, down 10.7% from $95.86 million a year earlier but up 18.2% from the prior quarter.
National Presto Industries (NPK) Total Non-Current Liabilities (2019 - 2026) Analysis & Trends
At the end of FY2025, National Presto Industries' Total Non-Current Liabilities was $103.88 million, up 23.9% from FY2024.
- Total Non-Current Liabilities has increased in each of the last four years, with a five-year compound annual growth rate of 12.4% (FY2020 to FY2025).
- Going back by year, Total Non-Current Liabilities was $83.83 million in FY2024 (+2.2%), $82.01 million in FY2023 (+28.5%), $63.8 million in FY2022 (+15.3%) and $55.33 million in FY2021 (-4.4%).
- The five-year range for quarterly Total Non-Current Liabilities is $50.17 million (Q2 2022) to $122.02 million (Q3 2025).
- Year-over-year, Total Non-Current Liabilities increased in six of the last eight quarters, with growth averaging 14.6%.
- The fastest year-over-year change in Total Non-Current Liabilities over five years came in Q3 2025 (growth of 62.9%), and the weakest in Q3 2022 (a decline of 23.2%).
- Business Quant data shows NPK's Total Non-Current Liabilities at $72.43 million (Q1 2026), $103.88 million (Q4 2025) and $122.02 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | SharkNinja | 25.70 Bn | 23.37 Bn | 860.34 Mn | 2.70 Bn |
| 2 | Somnigroup International | 13.10 Bn | 12.64 Bn | 817.20 Mn | 8.25 Bn |
| 3 | Hni | 3.37 Bn | 2.94 Bn | 647.20 Mn | 2.82 Bn |
| 4 | Newell Brands | 2.27 Bn | 1.42 Bn | 812.00 Mn | 7.88 Bn |
| 5 | Sonos | 2.11 Bn | 1.01 Bn | 189.31 Mn | 475.62 Mn |
| 6 | Whirlpool | 1.99 Bn | -1.49 Bn | 442.00 Mn | 8.39 Bn |
| 7 | Corsair Gaming | 1.46 Bn | 999.46 Mn | 104.29 Mn | 500.41 Mn |
| 8 | Millerknoll | 1.37 Bn | 735.34 Mn | 385.30 Mn | 2.53 Bn |
| 9 | Cricut | 1.34 Bn | 317.37 Mn | 116.41 Mn | 210.71 Mn |
| 10 | National Presto Industries | 1.05 Bn | 1.02 Bn | 28.55 Mn | 85.62 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 5, 2026 | 85.62 Mn |
| Mar 31, 2026 | 72.43 Mn |
| Dec 31, 2025 | 103.88 Mn |
| Sep 28, 2025 | 122.02 Mn |
| Jun 29, 2025 | 95.86 Mn |
| Mar 30, 2025 | 79.27 Mn |
| Dec 31, 2024 | 83.83 Mn |
| Sep 29, 2024 | 74.89 Mn |
| Jun 30, 2024 | 72.57 Mn |
| Mar 31, 2024 | 78.38 Mn |
| Dec 31, 2023 | 82.01 Mn |
| Oct 1, 2023 | 65.85 Mn |
| Jul 2, 2023 | 59.07 Mn |
| Apr 2, 2023 | 58.96 Mn |
| Dec 31, 2022 | 63.80 Mn |
| Oct 2, 2022 | 54.48 Mn |
| Jul 3, 2022 | 50.17 Mn |
| Apr 3, 2022 | 51.68 Mn |
| Dec 31, 2021 | 55.33 Mn |
| Oct 3, 2021 | 70.90 Mn |
National Presto Industries 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=NPK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "NPK", "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=NPK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();