Nn (NNBR) Return on Capital Employed [ROCE] (2011 - 2026)
Nn (NNBR) reported Return on Capital Employed [ROCE] of -3.88% for Q2 2026, up 3.35 percentage points from -7.23% a year earlier and up 0.74 percentage points from the prior quarter.
Nn (NNBR) Return on Capital Employed [ROCE] (2011 - 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).
- The Q2 2026 figure ranks as the highest quarterly Return on Capital Employed [ROCE] since Q3 2022.
- Year over year, Return on Capital Employed [ROCE] has now increased in each of the last three quarters, with an average year-over-year change of -0.15 percentage points over the last eight quarters.
- The high point for year-over-year Return on Capital Employed [ROCE] in five years was Q3 2021 (a gain of 32.22 percentage points); the low point was Q2 2025 (a drop of 2.98 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at -4.62% (Q1 2026), -5.31% (Q4 2025) and -6.95% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 388.70 Bn | 360.40 Bn | 7.76 Bn | 22.08% |
| 2 | Amphenol | 214.42 Bn | 209.12 Bn | 3.55 Bn | 23.04% |
| 3 | Deere | 185.30 Bn | 194.07 Bn | 4.66 Bn | - |
| 4 | Eaton | 169.35 Bn | 166.59 Bn | 2.86 Bn | 12.16% |
| 5 | Parker-Hannifin | 122.64 Bn | 120.77 Bn | 2.25 Bn | 18.77% |
| 6 | Vertiv Holdings | 97.12 Bn | 87.74 Bn | 1.23 Bn | 29.36% |
| 7 | Emerson Electric | 90.13 Bn | 82.89 Bn | 2.66 Bn | 14.90% |
| 8 | 3M | 83.49 Bn | 64.94 Bn | 2.68 Bn | 19.43% |
| 9 | Illinois Tool Works | 74.89 Bn | 71.45 Bn | 1.90 Bn | 41.86% |
| 10 | Nn | 237.11 Mn | 310.72 Mn | 21.88 Mn | -3.88% |
Historic Data
| Date | Value |
|---|---|
| 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% |
| Sep 30, 2021 | -1.19% |
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();