Nn (NNBR) Cost of Revenue (2010 - 2026)
Nn's Cost of Revenue was $106.86 million in Q2 2026, up 19.1% from $89.7 million a year earlier and up 7.9% from the prior quarter.
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Analysis
Nn (NNBR) Cost of Revenue (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Nn's Cost of Revenue was $387.4 million through Jun 30, 2026, up 3.6% year-over-year; for FY2025, it was $362.85 million, down 8.1% from FY2024.
- Cost of Revenue has now declined for three consecutive years, though with a five-year compound annual growth rate of 1.1% (FY2020 to FY2025).
- In earlier years, Cost of Revenue was $394.81 million in FY2024 (-5.8%), $419.18 million in FY2023 (-0.5%), $421.11 million in FY2022 (+8.0%) and $390 million in FY2021 (+13.5%).
- The Q2 2026 figure marks the highest quarterly Cost of Revenue since Q2 2023.
- Compared with a year earlier, Cost of Revenue was higher in two of the last eight quarters, with an average decline of 1.9%.
- The best year-over-year quarter for Cost of Revenue over five years was Q2 2026 (growth of 19.1%); the worst was Q2 2025 (a decline of 11.4%).
- Per Business Quant data, NNBR's Cost of Revenue in the three quarters before Q2 2026 was $99.03 million (Q1 2026), $95.09 million (Q4 2025) and $86.41 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 388.70 Bn | 360.40 Bn | 7.76 Bn | 12.78 Bn |
| 2 | Amphenol | 214.42 Bn | 209.12 Bn | 3.55 Bn | 5.21 Bn |
| 3 | Deere | 185.30 Bn | 194.07 Bn | 4.66 Bn | 7.95 Bn |
| 4 | Eaton | 169.35 Bn | 166.59 Bn | 2.86 Bn | 5.68 Bn |
| 5 | Parker-Hannifin | 122.64 Bn | 120.77 Bn | 2.25 Bn | 3.51 Bn |
| 6 | Vertiv Holdings | 97.12 Bn | 87.74 Bn | 1.23 Bn | 2.04 Bn |
| 7 | Emerson Electric | 90.13 Bn | 82.89 Bn | 2.66 Bn | 2.22 Bn |
| 8 | 3M | 83.49 Bn | 64.94 Bn | 2.68 Bn | 3.82 Bn |
| 9 | Illinois Tool Works | 74.89 Bn | 71.45 Bn | 1.90 Bn | 2.40 Bn |
| 10 | Nn | 237.11 Mn | 310.72 Mn | 21.88 Mn | 106.86 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 106.86 Mn |
| Mar 31, 2026 | 99.03 Mn |
| Dec 31, 2025 | 95.09 Mn |
| Sep 30, 2025 | 86.41 Mn |
| Jun 30, 2025 | 89.70 Mn |
| Mar 31, 2025 | 91.65 Mn |
| Dec 31, 2024 | 95.34 Mn |
| Sep 30, 2024 | 97.13 Mn |
| Jun 30, 2024 | 101.26 Mn |
| Mar 31, 2024 | 101.09 Mn |
| Dec 31, 2023 | 98.53 Mn |
| Sep 30, 2023 | 104.54 Mn |
| Jun 30, 2023 | 107.68 Mn |
| Mar 31, 2023 | 108.42 Mn |
| Dec 31, 2022 | 104.61 Mn |
| Sep 30, 2022 | 108.03 Mn |
| Jun 30, 2022 | 103.89 Mn |
| Mar 31, 2022 | 104.58 Mn |
| Dec 31, 2021 | 91.87 Mn |
| Sep 30, 2021 | 98.64 Mn |
API Access
Nn Cost of Revenue 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=cost-of-revenue&ticker=NNBR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=NNBR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();