National Presto Industries (NPK) Total Current Liabilities (2010 - 2026)
National Presto Industries (NPK) reported Total Current Liabilities of $76.93 million for Q2 2026, down 11.3% from $86.7 million a year earlier but up 20.9% from the prior quarter.
National Presto Industries (NPK) Total Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, National Presto Industries posted Total Current Liabilities of $94.95 million, up 27.6% from FY2024.
- Total Current Liabilities has increased for four consecutive years, with a five-year compound annual growth rate of 11.5% (FY2020 to FY2025).
- By year, Total Current Liabilities came in at $74.44 million in FY2024 (+3.4%), $72.02 million in FY2023 (+34.3%), $53.64 million in FY2022 (+0.9%) and $53.16 million in FY2021 (-3.5%).
- Five-year quarterly Total Current Liabilities spans a low of $48.21 million in Q2 2022 and a high of $112.98 million in Q3 2025.
- Year over year, Total Current Liabilities gained in six of the last eight quarters, with growth averaging 13.1%.
- The high point for year-over-year Total Current Liabilities in five years was Q3 2025 (growth of 60.3%); the low point was Q1 2026 (a decline of 15.7%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $63.63 million (Q1 2026), $94.95 million (Q4 2025) and $112.98 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | SharkNinja | 25.65 Bn | 23.31 Bn | 860.34 Mn | 1.81 Bn |
| 2 | Somnigroup International | 13.10 Bn | 12.65 Bn | 817.20 Mn | 1.72 Bn |
| 3 | Hni | 3.38 Bn | 2.95 Bn | 647.20 Mn | 1.04 Bn |
| 4 | Newell Brands | 2.32 Bn | 1.47 Bn | 812.00 Mn | 2.89 Bn |
| 5 | Sonos | 2.13 Bn | 1.02 Bn | 189.31 Mn | 366.80 Mn |
| 6 | Whirlpool | 2.04 Bn | -1.44 Bn | 442.00 Mn | 5.01 Bn |
| 7 | Corsair Gaming | 1.46 Bn | 1.00 Bn | 104.29 Mn | 369.15 Mn |
| 8 | Millerknoll | 1.38 Bn | 756.09 Mn | 395.60 Mn | 721.10 Mn |
| 9 | Arhaus | 1.36 Bn | 443.23 Mn | 172.07 Mn | 484.36 Mn |
| 10 | National Presto Industries | 1.04 Bn | 1.01 Bn | 28.55 Mn | 76.93 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 5, 2026 | 76.93 Mn |
| Mar 31, 2026 | 63.63 Mn |
| Dec 31, 2025 | 94.95 Mn |
| Sep 28, 2025 | 112.98 Mn |
| Jun 29, 2025 | 86.70 Mn |
| Mar 30, 2025 | 75.50 Mn |
| Dec 31, 2024 | 74.44 Mn |
| Sep 29, 2024 | 70.49 Mn |
| Jun 30, 2024 | 68.05 Mn |
| Mar 31, 2024 | 73.73 Mn |
| Dec 31, 2023 | 72.02 Mn |
| Oct 1, 2023 | 63.42 Mn |
| Jul 2, 2023 | 56.47 Mn |
| Apr 2, 2023 | 56.38 Mn |
| Dec 31, 2022 | 53.64 Mn |
| Oct 2, 2022 | 51.63 Mn |
| Jul 3, 2022 | 48.21 Mn |
| Apr 3, 2022 | 49.65 Mn |
| Dec 31, 2021 | 53.16 Mn |
| Oct 3, 2021 | 61.16 Mn |
National Presto Industries Total 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-current-liabilities&ticker=NPK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-current-liabilities&ticker=NPK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();