Nn (NNBR) Selling, General & Administrative (2010 - 2026)
Nn (NNBR) posted Selling, General & Administrative of $12.57 million for Q2 2026, up 3.9% from $12.1 million a year earlier but down 5.4% from the prior quarter.
Nn (NNBR) Selling, General & Administrative (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Selling, General & Administrative at Nn was $48.77 million, up 6.3% year-over-year; for FY2025, it was $46.17 million, down 6.7% from FY2024.
- Annual Selling, General & Administrative shows a five-year compound annual growth rate of -4.5% (FY2020 to FY2025).
- In prior years, Nn's Selling, General & Administrative was $49.48 million in FY2024 (+4.3%), $47.44 million in FY2023 (-4.4%), $49.64 million in FY2022 (-3.6%) and $51.49 million in FY2021 (-11.3%).
- Quarterly Selling, General & Administrative has run from a low of $10.21 million in Q3 2022 to a high of $14.79 million in Q2 2022 over five years.
- On a year-over-year basis, Selling, General & Administrative increased in four of the last eight quarters, with an average decline of 0.7%.
- The strongest year-over-year quarter for Selling, General & Administrative in the past five years was Q2 2024, with growth of 23.1%; the weakest was Q2 2023, with a decline of 25.8%.
- According to Business Quant data, Selling, General & Administrative for the three prior quarters was $13.29 million (Q1 2026), $11.85 million (Q4 2025) and $11.06 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 388.70 Bn | 360.40 Bn | 7.76 Bn | 2.02 Bn |
| 2 | Amphenol | 214.42 Bn | 209.12 Bn | 3.55 Bn | 939.90 Mn |
| 3 | Deere | 185.30 Bn | 194.07 Bn | 4.66 Bn | 1.22 Bn |
| 4 | Eaton | 169.35 Bn | 166.59 Bn | 2.86 Bn | 1.24 Bn |
| 5 | Parker-Hannifin | 122.64 Bn | 120.77 Bn | 2.25 Bn | 874.00 Mn |
| 6 | Vertiv Holdings | 97.12 Bn | 87.74 Bn | 1.23 Bn | 494.40 Mn |
| 7 | Emerson Electric | 90.13 Bn | 82.89 Bn | 2.66 Bn | 1.34 Bn |
| 8 | 3M | 83.49 Bn | 64.94 Bn | 2.68 Bn | 1.06 Bn |
| 9 | Illinois Tool Works | 74.89 Bn | 71.45 Bn | 1.90 Bn | - |
| 10 | Nn | 237.11 Mn | 310.72 Mn | 21.88 Mn | 12.57 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 12.57 Mn |
| Mar 31, 2026 | 13.29 Mn |
| Dec 31, 2025 | 11.85 Mn |
| Sep 30, 2025 | 11.06 Mn |
| Jun 30, 2025 | 12.10 Mn |
| Mar 31, 2025 | 11.17 Mn |
| Dec 31, 2024 | 12.37 Mn |
| Sep 30, 2024 | 10.26 Mn |
| Jun 30, 2024 | 13.51 Mn |
| Mar 31, 2024 | 13.35 Mn |
| Dec 31, 2023 | 11.60 Mn |
| Sep 30, 2023 | 11.69 Mn |
| Jun 30, 2023 | 10.98 Mn |
| Mar 31, 2023 | 13.17 Mn |
| Dec 31, 2022 | 11.18 Mn |
| Sep 30, 2022 | 10.21 Mn |
| Jun 30, 2022 | 14.79 Mn |
| Mar 31, 2022 | 13.45 Mn |
| Dec 31, 2021 | 11.15 Mn |
| Sep 30, 2021 | 12.18 Mn |
Nn 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=NNBR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "ticker": "NNBR", "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=NNBR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();