Nn (NNBR) Operating Expenses (2010 - 2026)
Nn's Operating Expenses came in at $18.51 million for Q2 2026, up 5.1% from $17.61 million a year earlier but down 3.2% from the prior quarter.
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Analysis
Nn (NNBR) Operating Expenses (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Nn reported Operating Expenses of $71.96 million, up 1.4% year-over-year; for FY2025, it came in at $68.47 million, down 15.5% from FY2024.
- Operating Expenses carries a five-year compound annual growth rate of -5.2% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $81.08 million in FY2024 (+2.1%), $79.44 million in FY2023 (-2.0%), $81.04 million in FY2022 (-2.7%) and $83.29 million in FY2021 (-6.8%).
- The five-year range for quarterly Operating Expenses is $10.21 million (Q3 2022) to $22.44 million (Q1 2024).
- Year-over-year, Operating Expenses increased in four of the last eight quarters, with growth averaging 9.7%.
- The fastest year-over-year change in Operating Expenses over five years came in Q2 2024 (growth of 98.8%), and the weakest in Q1 2025 (a decline of 26.3%).
- Business Quant data shows NNBR's Operating Expenses at $19.13 million (Q1 2026), $17.61 million (Q4 2025) and $16.72 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 16.25 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 963.40 Mn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | 10.73 Bn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 1.46 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 874.00 Mn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 490.50 Mn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 1.34 Bn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 5.52 Bn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | - |
| 10 | Nn | 192.95 Mn | 266.56 Mn | 21.88 Mn | 18.51 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 18.51 Mn |
| Mar 31, 2026 | 19.13 Mn |
| Dec 31, 2025 | 17.61 Mn |
| Sep 30, 2025 | 16.72 Mn |
| Jun 30, 2025 | 17.61 Mn |
| Mar 31, 2025 | 16.54 Mn |
| Dec 31, 2024 | 19.13 Mn |
| Sep 30, 2024 | 17.70 Mn |
| Jun 30, 2024 | 21.82 Mn |
| Mar 31, 2024 | 22.44 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 |
API Access
Nn Operating Expenses 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=operating-expenses&ticker=NNBR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=NNBR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();