Nokia (NOK) Return on Capital Employed [ROCE] (2009 - 2022)
Nokia's Return on Capital Employed [ROCE] came in at 3.26% for FY2025, down 3.72 percentage points from 6.97% in FY2024.
Analysis
Nokia (NOK) Return on Capital Employed [ROCE] (2009 - 2022) Analysis & Trends
Going back to FY2009, Nokia's Return on Capital Employed [ROCE] data covers 17 years.
- Return on Capital Employed [ROCE] carries a five-year change of -0.14 percentage points (FY2020 to FY2025).
- The FY2025 figure represents the lowest annual Return on Capital Employed [ROCE] since FY2019.
- Per Business Quant, earlier years put Return on Capital Employed [ROCE] at 6.97% in FY2024 (+1.27 pp), 5.71% in FY2023 (-1.88 pp), 7.58% in FY2022 (-0.59 pp) and 8.18% in FY2021 (+4.78 pp).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Citigroup | 205.25 Bn | -2,192.43 Bn | 23.76 Bn | - |
| 2 | Bhp | 201.96 Bn | 156.98 Bn | - | - |
| 3 | Bank Of Nova Scotia | 114.44 Bn | -316.95 Bn | - | - |
| 4 | Vylor | 48.40 Bn | 46.20 Bn | 313.00 Mn | - |
| 5 | Nokia | 46.28 Bn | 46.28 Bn | 2.58 Bn | - |
| 6 | Haleon | 41.09 Bn | 34.80 Bn | - | - |
| 7 | Gold Fields | 32.02 Bn | 28.94 Bn | - | - |
| 8 | Smith & Nephew | 27.46 Bn | 24.86 Bn | - | - |
| 9 | Sprott Physical Gold Trust | 13.93 Bn | 13.78 Bn | - | - |
| 10 | Magnum Ice Cream | 12.19 Bn | 10.88 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2022 | 9.14% |
| Dec 31, 2021 | 8.04% |
| Mar 31, 2021 | 5.89% |
| Dec 31, 2020 | 4.61% |
| Sep 30, 2020 | 6.75% |
| Jun 30, 2020 | 6.78% |
| Mar 31, 2020 | 7.97% |
| Dec 31, 2019 | 5.70% |
| Sep 30, 2019 | 5.74% |
| Jun 30, 2019 | 5.70% |
| Mar 31, 2019 | 5.50% |
| Dec 31, 2018 | 6.34% |
| Sep 30, 2018 | 5.95% |
| Jun 30, 2018 | 6.08% |
| Mar 31, 2018 | 6.46% |
| Dec 31, 2017 | 8.89% |
| Sep 30, 2017 | 8.05% |
| Jun 30, 2017 | 7.77% |
| Mar 31, 2017 | 3.36% |
| Dec 31, 2016 | -1.12% |
API Access
Nokia 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=NOK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "NOK", "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=NOK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();