Nokia (NOKBF) Retained Earnings (2009 - 2025)
Analysis
Nokia (NOKBF) Retained Earnings (2009 - 2025) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 2.18 Bn |
| Dec 31, 2024 | 2.04 Bn |
| Jun 30, 2024 | 1.40 Bn |
| Dec 31, 2023 | 1.55 Bn |
| Jun 30, 2023 | 1.82 Bn |
| Dec 31, 2022 | 1.47 Bn |
| Dec 31, 2021 | -2.87 Bn |
| Sep 30, 2021 | -3.71 Bn |
| Mar 31, 2021 | -4.55 Bn |
| Dec 31, 2020 | -5.10 Bn |
| Sep 30, 2020 | -1.70 Bn |
| Jun 30, 2020 | -1.85 Bn |
| Mar 31, 2020 | -1.91 Bn |
| Dec 31, 2019 | -1.81 Bn |
| Sep 30, 2019 | -2.38 Bn |
| Jun 30, 2019 | 2.25 Bn |
| Mar 31, 2019 | 1.69 Bn |
| Dec 31, 2018 | -1.21 Bn |
| Sep 30, 2018 | 1.46 Bn |
| Jun 30, 2018 | 1.36 Bn |
API Access
Nokia Retained Earnings 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=retained-earnings&ticker=NOKBF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "ticker": "NOKBF", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=retained-earnings&ticker=NOKBF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();