Napco Security Technologies (NSSC) Total Liabilities (2011 - 2026)
Napco Security Technologies (NSSC) reported Total Liabilities of $47.67 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 61.4% from $29.54 million a year earlier and up 7.8% from the prior quarter.
Napco Security Technologies (NSSC) Total Liabilities (2011 - 2026) Analysis & Trends
Dating back to fiscal Q4 2011, Napco Security Technologies' Total Liabilities record includes 61 quarters.
- Total Liabilities has increased for three consecutive fiscal years, with a five-year compound annual growth rate of 9.6% (FY2021 to FY2026).
- By fiscal year, Total Liabilities came in at $29.54 million in FY2025 (+2.3%), $28.86 million in FY2024 (+9.0%), $26.49 million in FY2023 (-23.9%) and $34.79 million in FY2022 (+15.3%).
- The fiscal Q4 2026 figure ranks as the highest quarterly Total Liabilities in data going back to fiscal Q4 2011.
- Year over year, Total Liabilities gained in six of the last eight quarters, with growth averaging 16.2%.
- The high point for year-over-year Total Liabilities in five years was fiscal Q4 2026 (growth of 61.4%); the low point was fiscal Q4 2023 (a decline of 23.9%).
- Per Business Quant data, the three fiscal quarters before Q4 2026 came in at $44.23 million (Q3 2026), $28.01 million (Q2 2026) and $29.85 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 146.45 Bn | 105.73 Bn | 6.13 Bn | 35.79 Bn |
| 2 | Cintas | 86.33 Bn | 85.41 Bn | 1.55 Bn | 5.45 Bn |
| 3 | Iron Mountain | 33.67 Bn | 32.86 Bn | 1.07 Bn | 23.24 Bn |
| 4 | APi | 17.30 Bn | 14.34 Bn | 703.00 Mn | 6.43 Bn |
| 5 | Rollins | 15.96 Bn | 15.51 Bn | 569.95 Mn | 1.93 Bn |
| 6 | Aramark | 14.79 Bn | 12.73 Bn | 430.34 Mn | 10.58 Bn |
| 7 | UL Solutions | 14.71 Bn | 13.47 Bn | 417.00 Mn | 1.50 Bn |
| 8 | Gartner | 14.57 Bn | 8.26 Bn | 1.19 Bn | 7.36 Bn |
| 9 | Rentokil Initial | 10.67 Bn | 4.19 Bn | - | - |
| 10 | Napco Security Technologies | 1.30 Bn | 815.46 Mn | 34.22 Mn | 47.67 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 47.67 Mn |
| Mar 31, 2026 | 44.23 Mn |
| Dec 31, 2025 | 28.01 Mn |
| Sep 30, 2025 | 29.85 Mn |
| Jun 30, 2025 | 29.54 Mn |
| Mar 31, 2025 | 29.32 Mn |
| Dec 31, 2024 | 28.46 Mn |
| Sep 30, 2024 | 31.28 Mn |
| Jun 30, 2024 | 28.86 Mn |
| Mar 31, 2024 | 26.61 Mn |
| Dec 31, 2023 | 27.89 Mn |
| Sep 30, 2023 | 28.68 Mn |
| Jun 30, 2023 | 26.49 Mn |
| Mar 31, 2023 | 24.30 Mn |
| Dec 31, 2022 | 24.58 Mn |
| Sep 30, 2022 | 30.88 Mn |
| Jun 30, 2022 | 34.79 Mn |
| Mar 31, 2022 | 31.12 Mn |
| Dec 31, 2021 | 28.72 Mn |
| Sep 30, 2021 | 24.93 Mn |
Napco Security Technologies 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=NSSC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "NSSC", "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=NSSC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();