Napco Security Technologies (NSSC) Total Liabilities (2009 - 2026)
Napco Security Technologies (NSSC) reported Total Liabilities of $33.28 million for fiscal Q1 2027 (quarter ended Sep 30, 2026), up 11.5% from $29.85 million a year earlier but down 30.2% from the prior quarter.
Napco Security Technologies (NSSC) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2026 (ended Jun 30, 2026), Napco Security Technologies posted Total Liabilities of $47.67 million, up 61.4% from FY2025.
- 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%).
- Five-year quarterly Total Liabilities spans a low of $24.3 million in fiscal Q3 2023 and a high of $47.67 million in fiscal Q4 2026.
- Year over year, Total Liabilities has now increased in each of the last three quarters, with growth averaging 16.5% over the last eight quarters.
- 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 Q1 2027 came in at $47.67 million (Q4 2026), $44.23 million (Q3 2026) and $28.01 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 172.92 Bn | 132.01 Bn | 5.98 Bn | 40.87 Bn |
| 2 | Cintas | 90.00 Bn | 89.09 Bn | 1.55 Bn | 5.45 Bn |
| 3 | Iron Mountain | 32.99 Bn | 32.50 Bn | 1.06 Bn | 23.71 Bn |
| 4 | Rollins | 18.37 Bn | 17.91 Bn | 582.90 Mn | 1.97 Bn |
| 5 | APi | 18.18 Bn | 15.39 Bn | 770.00 Mn | 6.79 Bn |
| 6 | UL Solutions | 16.47 Bn | 14.51 Bn | 423.00 Mn | 1.95 Bn |
| 7 | Aramark | 14.29 Bn | 12.30 Bn | 430.34 Mn | 10.58 Bn |
| 8 | Rentokil Initial | 11.99 Bn | 5.51 Bn | - | - |
| 9 | Gartner | 11.92 Bn | 5.41 Bn | 1.07 Bn | 7.19 Bn |
| 10 | Napco Security Technologies | 1.12 Bn | 608.47 Mn | 29.35 Mn | 33.28 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 33.28 Mn |
| 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 |
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();