Nn (NNBR) Return on Capital Employed [ROCE] (2009 - 2026)
Nn (NNBR) reported Return on Capital Employed [ROCE] of -4.25% for Q3 2026, up 2.70 percentage points from -6.95% a year earlier but down 0.37 percentage points from the prior quarter.
Nn (NNBR) Return on Capital Employed [ROCE] (2009 - 2026) Analysis & Trends
For FY2025, Nn posted Return on Capital Employed [ROCE] of -5.27%, up 1.62 percentage points from FY2024.
- Return on Capital Employed [ROCE] has a five-year change of +6.71 percentage points (FY2020 to FY2025).
- By year, Return on Capital Employed [ROCE] came in at -6.89% in FY2024 (-2.01 pp), -4.88% in FY2023 (-0.52 pp), -4.36% in FY2022 (-2.65 pp) and -1.71% in FY2021 (+10.28 pp).
- Five-year quarterly Return on Capital Employed [ROCE] spans a low of -7.47% in Q1 2025 and a high of -1.76% in Q4 2021.
- Year over year, Return on Capital Employed [ROCE] has now increased in each of the last four quarters, with an average year-over-year change of +0.07 percentage points over the last eight quarters.
- The high point for year-over-year Return on Capital Employed [ROCE] in five years was Q4 2021 (a gain of 11.79 percentage points); the low point was Q2 2025 (a drop of 2.98 percentage points).
- Per Business Quant data, the three quarters before Q3 2026 came in at -3.88% (Q2 2026), -4.62% (Q1 2026) and -5.31% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 267.46 Bn | 238.77 Bn | 7.35 Bn | 22.25% |
| 2 | Amphenol | 197.37 Bn | 192.21 Bn | 4.02 Bn | 25.53% |
| 3 | Deere | 185.36 Bn | 194.13 Bn | 4.66 Bn | - |
| 4 | Eaton | 137.64 Bn | 134.62 Bn | 3.11 Bn | 12.64% |
| 5 | Parker-Hannifin | 121.80 Bn | 119.79 Bn | 2.26 Bn | 17.64% |
| 6 | 3M | 97.84 Bn | 80.25 Bn | 2.78 Bn | 18.67% |
| 7 | Emerson Electric | 93.37 Bn | 85.86 Bn | 2.74 Bn | 15.15% |
| 8 | Illinois Tool Works | 81.86 Bn | 78.53 Bn | 1.91 Bn | 38.87% |
| 9 | Vertiv Holdings | 74.77 Bn | 63.62 Bn | 1.64 Bn | 31.72% |
| 10 | Nn | 250.71 Mn | 237.71 Mn | 18.27 Mn | -4.25% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -4.25% |
| Jun 30, 2026 | -3.88% |
| Mar 31, 2026 | -4.62% |
| Dec 31, 2025 | -5.31% |
| Sep 30, 2025 | -6.95% |
| Jun 30, 2025 | -7.23% |
| Mar 31, 2025 | -7.47% |
| Dec 31, 2024 | -7.14% |
| Sep 30, 2024 | -4.64% |
| Jun 30, 2024 | -4.25% |
| Mar 31, 2024 | -4.68% |
| Dec 31, 2023 | -5.02% |
| Sep 30, 2023 | -5.65% |
| Jun 30, 2023 | -5.37% |
| Mar 31, 2023 | -5.43% |
| Dec 31, 2022 | -4.46% |
| Sep 30, 2022 | -2.84% |
| Jun 30, 2022 | -3.27% |
| Mar 31, 2022 | -2.70% |
| Dec 31, 2021 | -1.76% |
Nn Return on Capital Employed [ROCE] 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=return-on-capital-employed-%5Broce%5D&ticker=NNBR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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=return-on-capital-employed-%5Broce%5D&ticker=NNBR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();