Nocopi Technologies (NNUP) Selling, General & Administrative (2010 - 2026)
Nocopi Technologies (NNUP) recorded Selling, General & Administrative of $236,695 in Q2 2026, up 262.5% from $65,300 a year earlier and up 6.7% from the prior quarter.
Nocopi Technologies (NNUP) Selling, General & Administrative (2010 - 2026) Analysis & Trends
On a TTM basis, Nocopi Technologies' Selling, General & Administrative came in at $923,795 as of Jun 30, 2026, down 46.3% year-over-year; for FY2025, it came in at $952,300, down 75.6% from FY2024.
- Annual Selling, General & Administrative has a five-year compound annual growth rate of 12.6% (FY2020 to FY2025).
- Across earlier years, Selling, General & Administrative came in at $3.9 million in FY2024 (+53.6%), $2.54 million in FY2023 (+108.2%), $1.22 million in FY2022 (+69.5%) and $719,400 in FY2021 (+36.7%).
- Quarterly Selling, General & Administrative has ranged from $65,300 in Q2 2025 to $1.28 million in Q4 2023 over the past five years.
- On a year-over-year basis, Selling, General & Administrative rose in 1 of the last eight quarters, with an average decline of 13.4%.
- Peak year-over-year performance for Selling, General & Administrative in the last five years was growth of 503.8% in Q1 2024, against a decline of 94.8% in Q2 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $221,800 (Q1 2026), $260,000 (Q4 2025) and $205,300 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 218.80 Bn | 201.92 Bn | 4.43 Bn | 891.00 Mn |
| 2 | Corning | 132.43 Bn | 125.56 Bn | 1.63 Bn | 608.00 Mn |
| 3 | Sherwin Williams | 78.49 Bn | 77.53 Bn | 3.34 Bn | 2.10 Bn |
| 4 | Air Products & Chemicals | 61.97 Bn | 59.87 Bn | 1.04 Bn | 219.10 Mn |
| 5 | Corteva | 51.82 Bn | 40.62 Bn | 3.66 Bn | 1.16 Bn |
| 6 | LyondellBasell Industries | 37.12 Bn | 26.74 Bn | 2.04 Bn | 387.00 Mn |
| 7 | Nutrien | 33.86 Bn | 30.73 Bn | 3.25 Bn | 169.00 Mn |
| 8 | Qnity Electronics | 26.31 Bn | 23.73 Bn | 666.00 Mn | 200.00 Mn |
| 9 | Ati | 25.78 Bn | 23.93 Bn | 309.80 Mn | 95.70 Mn |
| 10 | Nocopi Technologies | 19.96 Mn | 19.96 Mn | 357,381.00 | 236,695.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 236,695.00 |
| Mar 31, 2026 | 221,800.00 |
| Dec 31, 2025 | 260,000.00 |
| Sep 30, 2025 | 205,300.00 |
| Jun 30, 2025 | 65,300.00 |
| Mar 31, 2025 | 223,500.00 |
| Dec 31, 2024 | 703,100.00 |
| Sep 30, 2024 | 727,400.00 |
| Jun 30, 2024 | 1.25 Mn |
| Mar 31, 2024 | 1.21 Mn |
| Dec 31, 2023 | 1.28 Mn |
| Sep 30, 2023 | 833,800.00 |
| Jun 30, 2023 | 223,300.00 |
| Mar 31, 2023 | 201,200.00 |
| Dec 31, 2022 | 254,600.00 |
| Sep 30, 2022 | 180,200.00 |
| Jun 30, 2022 | 506,700.00 |
| Mar 31, 2022 | 277,700.00 |
| Dec 31, 2021 | 333,900.00 |
| Sep 30, 2021 | 122,300.00 |
Nocopi Technologies Selling, General & Administrative 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=selling-general-and-administrative&ticker=NNUP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "ticker": "NNUP", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=selling-general-and-administrative&ticker=NNUP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();