Napco Security Technologies (NSSC) Research & Development (2017 - 2026)
Napco Security Technologies (NSSC) recorded Research & Development of $4.05 million in fiscal Q1 2027 (quarter ended Sep 30, 2026), up 25.1% from $3.24 million a year earlier and up 10.7% from the prior quarter.
Napco Security Technologies (NSSC) Research & Development (2017 - 2026) Analysis & Trends
On a TTM basis, Napco Security Technologies' Research & Development came in at $14.6 million as of Sep 30, 2026, up 14.4% year-over-year; for FY2026 (ended Jun 30, 2026), it was $13.79 million, up 9.6% from FY2025.
- Annual Research & Development has increased for eight straight fiscal years, with a five-year compound annual growth rate of 12.6% (FY2021 to FY2026).
- Across earlier fiscal years, Research & Development came in at $12.58 million in FY2025 (+16.9%), $10.76 million in FY2024 (+15.4%), $9.33 million in FY2023 (+16.3%) and $8.02 million in FY2022 (+5.3%).
- The fiscal Q1 2027 figure is the highest quarterly Research & Development in data going back to fiscal Q3 2017.
- On a year-over-year basis, Research & Development has increased for 26 consecutive quarters, with growth averaging 13.5% over the last eight quarters.
- Over the past five years, the year-over-year growth in Research & Development ranged from 0.4% (fiscal Q1 2024) to 28.0% (fiscal Q4 2024).
- Per Business Quant, the preceding three fiscal quarters came in at $3.66 million (Q4 2026), $3.42 million (Q3 2026) and $3.47 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 172.92 Bn | 132.01 Bn | 5.98 Bn | - |
| 2 | Cintas | 90.00 Bn | 89.09 Bn | 1.55 Bn | - |
| 3 | Iron Mountain | 32.99 Bn | 32.50 Bn | 1.06 Bn | - |
| 4 | Rollins | 18.37 Bn | 17.91 Bn | 582.90 Mn | - |
| 5 | APi | 18.18 Bn | 15.39 Bn | 770.00 Mn | - |
| 6 | UL Solutions | 16.47 Bn | 14.51 Bn | 423.00 Mn | - |
| 7 | Aramark | 14.29 Bn | 12.30 Bn | 430.34 Mn | - |
| 8 | Rentokil Initial | 11.99 Bn | 5.51 Bn | - | - |
| 9 | Gartner | 11.92 Bn | 5.41 Bn | 1.07 Bn | - |
| 10 | Napco Security Technologies | 1.12 Bn | 608.47 Mn | 29.35 Mn | 4.05 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 4.05 Mn |
| Jun 30, 2026 | 3.66 Mn |
| Mar 31, 2026 | 3.42 Mn |
| Dec 31, 2025 | 3.47 Mn |
| Sep 30, 2025 | 3.24 Mn |
| Jun 30, 2025 | 3.23 Mn |
| Mar 31, 2025 | 3.19 Mn |
| Dec 31, 2024 | 3.11 Mn |
| Sep 30, 2024 | 3.06 Mn |
| Jun 30, 2024 | 3.03 Mn |
| Mar 31, 2024 | 2.76 Mn |
| Dec 31, 2023 | 2.54 Mn |
| Sep 30, 2023 | 2.44 Mn |
| Jun 30, 2023 | 2.36 Mn |
| Mar 31, 2023 | 2.31 Mn |
| Dec 31, 2022 | 2.22 Mn |
| Sep 30, 2022 | 2.43 Mn |
| Jun 30, 2022 | 2.11 Mn |
| Mar 31, 2022 | 2.01 Mn |
| Dec 31, 2021 | 1.98 Mn |
Napco Security Technologies Research & Development 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=research-and-development&ticker=NSSC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=NSSC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();