Nio (NIO) Return on Capital Employed [ROCE] (2018 - 2026)
Nio (NIO) reported Return on Capital Employed [ROCE] of -7.58% for Q2 2026, up 54.62 percentage points from -62.20% a year earlier and up 9.12 percentage points from the prior quarter.
Nio (NIO) Return on Capital Employed [ROCE] (2018 - 2026) Analysis & Trends
For FY2025, Nio posted Return on Capital Employed [ROCE] of -39.93%, up 2.27 percentage points from FY2024.
- Return on Capital Employed [ROCE] has a five-year change of -17.10 percentage points (FY2020 to FY2025).
- By year, Return on Capital Employed [ROCE] came in at -42.20% in FY2024 (+2.71 pp), -44.92% in FY2023 (-11.73 pp), -33.18% in FY2022 (-21.63 pp) and -11.55% in FY2021 (+11.28 pp).
- The Q2 2026 figure ranks as the highest quarterly Return on Capital Employed [ROCE] since Q3 2021.
- 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 +8.85 percentage points over the last eight quarters.
- The high point for year-over-year Return on Capital Employed [ROCE] in five years was Q2 2026 (a gain of 54.62 percentage points); the low point was Q3 2023 (a drop of 38.55 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at -16.70% (Q1 2026), -35.26% (Q4 2025) and -53.57% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,160.73 Bn | 982.96 Bn | 5.49 Bn | 3.08% |
| 2 | General Motors | 75.19 Bn | -29.42 Bn | 9.28 Bn | 2.41% |
| 3 | Ferrari | 74.17 Bn | 66.47 Bn | 1.14 Bn | - |
| 4 | Ford Motor | 49.64 Bn | -84.78 Bn | 7.38 Bn | -4.03% |
| 5 | Honda Motor | 47.63 Bn | -102.18 Bn | 8.46 Bn | -0.52% |
| 6 | Toyota Motor | 28.28 Bn | -349.28 Bn | 19.83 Bn | 5.90% |
| 7 | Rivian Automotive | 19.71 Bn | -2.02 Bn | 176.00 Mn | -29.34% |
| 8 | Magna International | 17.43 Bn | 11.40 Bn | 1.63 Bn | - |
| 9 | Stellantis | 12.80 Bn | -148.64 Bn | 3.94 Bn | -13.04% |
| 10 | Nio | 7.70 Bn | -16.01 Bn | 870.51 Mn | -7.58% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -7.58% |
| Mar 31, 2026 | -16.70% |
| Dec 31, 2025 | -35.26% |
| Sep 30, 2025 | -53.57% |
| Jun 30, 2025 | -62.20% |
| Mar 31, 2025 | -53.46% |
| Dec 31, 2024 | -48.64% |
| Sep 30, 2024 | -51.24% |
| Jun 30, 2024 | -42.34% |
| Mar 31, 2024 | -37.90% |
| Dec 31, 2023 | -44.48% |
| Sep 30, 2023 | -59.15% |
| Jun 30, 2023 | -52.63% |
| Mar 31, 2023 | -35.73% |
| Dec 31, 2022 | -32.10% |
| Sep 30, 2022 | -20.60% |
| Jun 30, 2022 | -14.97% |
| Mar 31, 2022 | -11.98% |
| Dec 31, 2021 | -9.62% |
| Sep 30, 2021 | -7.27% |
Nio 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=NIO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "NIO", "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=NIO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();