Napco Security Technologies (NSSC) Retained Earnings (2009 - 2026)
Napco Security Technologies' Retained Earnings was $228.33 million in fiscal Q1 2027 (quarter ended Sep 30, 2026), up 10.7% from $206.26 million a year earlier and up 3.1% from the prior quarter.
Napco Security Technologies (NSSC) Retained Earnings (2009 - 2026) Analysis & Trends
At the end of FY2026 (ended Jun 30, 2026), Retained Earnings at Napco Security Technologies came in at $221.4 million, up 11.2% from FY2025.
- Retained Earnings has now increased for 15 consecutive fiscal years, with a five-year compound annual growth rate of 18.9% (FY2021 to FY2026).
- In earlier fiscal years, Retained Earnings was $199.08 million in FY2025 (+14.2%), $174.3 million in FY2024 (+26.5%), $137.74 million in FY2023 (+22.0%) and $112.91 million in FY2022 (+21.0%).
- The fiscal Q1 2027 figure marks the highest quarterly Retained Earnings in data going back to fiscal Q4 2011.
- Compared with a year earlier, Retained Earnings has increased for 58 straight quarters, with growth averaging 13.9% over the last eight quarters.
- Across the past five years, year-over-year growth in Retained Earnings ran from 8.6% in fiscal Q3 2026 to 29.2% in fiscal Q2 2024.
- Per Business Quant data, NSSC's Retained Earnings in the three fiscal quarters before Q1 2027 was $221.4 million (Q4 2026), $209 million (Q3 2026) and $214.77 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 172.92 Bn | 132.01 Bn | 5.98 Bn | 24.94 Bn |
| 2 | Cintas | 90.00 Bn | 89.09 Bn | 1.55 Bn | 13.42 Bn |
| 3 | Iron Mountain | 32.99 Bn | 32.50 Bn | 1.06 Bn | 5.83 Bn |
| 4 | Rollins | 18.37 Bn | 17.91 Bn | 582.90 Mn | 748.80 Mn |
| 5 | APi | 18.18 Bn | 15.39 Bn | 770.00 Mn | 787.00 Mn |
| 6 | UL Solutions | 16.47 Bn | 14.51 Bn | 423.00 Mn | 828.00 Mn |
| 7 | Aramark | 14.29 Bn | 12.30 Bn | 430.34 Mn | 652.31 Mn |
| 8 | Rentokil Initial | 11.99 Bn | 5.51 Bn | - | - |
| 9 | Gartner | 11.92 Bn | 5.41 Bn | 1.07 Bn | 7.43 Bn |
| 10 | Napco Security Technologies | 1.12 Bn | 608.47 Mn | 29.35 Mn | 228.33 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 228.33 Mn |
| Jun 30, 2026 | 221.40 Mn |
| Mar 31, 2026 | 209.00 Mn |
| Dec 31, 2025 | 214.77 Mn |
| Sep 30, 2025 | 206.26 Mn |
| Jun 30, 2025 | 199.08 Mn |
| Mar 31, 2025 | 192.44 Mn |
| Dec 31, 2024 | 186.79 Mn |
| Sep 30, 2024 | 180.88 Mn |
| Jun 30, 2024 | 174.30 Mn |
| Mar 31, 2024 | 164.45 Mn |
| Dec 31, 2023 | 154.95 Mn |
| Sep 30, 2023 | 145.28 Mn |
| Jun 30, 2023 | 137.74 Mn |
| Mar 31, 2023 | 129.47 Mn |
| Dec 31, 2022 | 119.92 Mn |
| Sep 30, 2022 | 116.00 Mn |
| Jun 30, 2022 | 112.91 Mn |
| Mar 31, 2022 | 105.37 Mn |
| Dec 31, 2021 | 102.95 Mn |
Napco Security Technologies Retained Earnings 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=retained-earnings&ticker=NSSC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "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=retained-earnings&ticker=NSSC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();