NPK International (NPKI) Total Liabilities (2009 - 2026)
NPK International's Total Liabilities came in at $99.55 million for Q3 2026, up 41.1% from $70.54 million a year earlier and up 27.1% from the prior quarter.
NPK International (NPKI) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, NPK International's Total Liabilities was $90.6 million, up 34.9% from FY2024.
- Total Liabilities carries a five-year compound annual growth rate of -16.3% (FY2020 to FY2025).
- Going back by year, Total Liabilities was $67.19 million in FY2024 (-70.4%), $226.97 million in FY2023 (-22.2%), $291.85 million in FY2022 (+0.5%) and $290.5 million in FY2021 (+31.4%).
- The Q3 2026 figure represents the highest quarterly Total Liabilities since Q2 2024.
- Year-over-year, Total Liabilities has increased for four consecutive quarters, with an average decline of 11.5% over the last eight quarters.
- The fastest year-over-year change in Total Liabilities over five years came in Q3 2026 (growth of 41.1%), and the weakest in Q1 2025 (a decline of 71.2%).
- Business Quant data shows NPKI's Total Liabilities at $78.35 million (Q2 2026), $78.11 million (Q1 2026) and $90.6 million (Q4 2025) in the three quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | W.W. Grainger | 68.95 Bn | 66.71 Bn | 2.01 Bn | 5.39 Bn |
| 2 | United Rentals | 68.54 Bn | 67.66 Bn | 2.05 Bn | 23.09 Bn |
| 3 | Fastenal | 62.92 Bn | 61.91 Bn | 1.10 Bn | 1.35 Bn |
| 4 | Ferguson Enterprises | 50.34 Bn | 47.55 Bn | 2.32 Bn | 11.92 Bn |
| 5 | Sunbelt Rentals Holdings | 33.33 Bn | 33.21 Bn | 1.25 Bn | 16.17 Bn |
| 6 | Reliance | 21.77 Bn | 20.83 Bn | 1.45 Bn | 3.88 Bn |
| 7 | Wesco International | 15.42 Bn | 12.47 Bn | 1.57 Bn | 13.34 Bn |
| 8 | Watsco | 11.20 Bn | 9.27 Bn | 586.29 Mn | 1.70 Bn |
| 9 | Applied Industrial Technologies | 10.92 Bn | 10.80 Bn | 392.21 Mn | 1.10 Bn |
| 10 | NPK International | 762.02 Mn | 737.76 Mn | 23.91 Mn | 99.55 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 99.55 Mn |
| Jun 30, 2026 | 78.35 Mn |
| Mar 31, 2026 | 78.11 Mn |
| Dec 31, 2025 | 90.60 Mn |
| Sep 30, 2025 | 70.54 Mn |
| Jun 30, 2025 | 64.85 Mn |
| Mar 31, 2025 | 63.12 Mn |
| Dec 31, 2024 | 67.19 Mn |
| Sep 30, 2024 | 73.15 Mn |
| Jun 30, 2024 | 198.19 Mn |
| Mar 31, 2024 | 219.24 Mn |
| Dec 31, 2023 | 226.97 Mn |
| Sep 30, 2023 | 248.07 Mn |
| Jun 30, 2023 | 250.82 Mn |
| Mar 31, 2023 | 267.64 Mn |
| Dec 31, 2022 | 291.85 Mn |
| Sep 30, 2022 | 344.71 Mn |
| Jun 30, 2022 | 315.17 Mn |
| Mar 31, 2022 | 287.24 Mn |
| Dec 31, 2021 | 290.50 Mn |
NPK International Total 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-liabilities&ticker=NPKI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "NPKI", "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-liabilities&ticker=NPKI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();