Nio (NIO) Accumulated Expenses (2017 - 2026)
Nio (NIO) recorded quarterly Accumulated Expenses of $2.3 billion in Q2 2026, up 2.65% on a QoQ basis from $2.2 billion in Q1 2026, and down 6.24% YoY from $2.4 billion in Q2 2025.
Nio (NIO) Accumulated Expenses (2017 - 2026) Analysis & Trends
Nio (NIO) has reported Accumulated Expenses for 10 consecutive years, with $2.3 billion the latest figure, recorded in Q2 2026.
- For the quarter ending Q2 2026, Accumulated Expenses fell 6.24% year-over-year to $2.3 billion; the trailing twelve-month figure through Jun 2026 stood at $2.3 billion (down 6.24% YoY), and the FY2025 full-year result was $2.4 billion, up 8.64% from the prior year.
- Accumulated Expenses was $2.3 billion for Q2 2026 at Nio, up from $2.2 billion in the prior quarter.
- The five-year high for Accumulated Expenses was $2.5 billion in Q3 2025, with the low at $1.2 billion in Q1 2022.
- Historically, Accumulated Expenses has averaged $2.0 billion across 5 years, with a median of $2.1 billion in 2023.
- Annual changes were most pronounced in 2022 — Accumulated Expenses surged 100.45% — and 2024, when it slipped 13.14%.
- Tracing NIO's Accumulated Expenses over 5 years: stood at $1.9 billion in 2022, then gained by 12.54% to $2.2 billion in 2023, then rose by 3.36% to $2.2 billion in 2024, then rose by 5.41% to $2.4 billion in 2025, then decreased by 3.76% to $2.3 billion in 2026.
- Per Business Quant data, the three most recent Accumulated Expenses figures were $2.3 billion in Q2 2026, $2.2 billion in Q1 2026, and $2.4 billion in Q4 2025.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Tesla | 1,226.50 Bn | 1,183.58 Bn | 4.75 Bn |
| 2 | Toyota Motor | 250.64 Bn | 172.66 Bn | 12.27 Bn |
| 3 | Ferrari | 153.43 Bn | 151.68 Bn | 1.18 Bn |
| 4 | Honda Motor | 147.05 Bn | 108.59 Bn | 8.46 Bn |
| 5 | General Motors | 73.24 Bn | 50.16 Bn | 7.33 Bn |
| 6 | Ford Motor | 51.31 Bn | 20.01 Bn | 6.08 Bn |
| 7 | Rivian Automotive | 20.62 Bn | 15.33 Bn | 179.00 Mn |
| 8 | Magna International | 17.88 Bn | 16.79 Bn | 1.61 Bn |
| 9 | Stellantis | 14.02 Bn | -29.10 Bn | 5.55 Bn |
| 10 | Nio | 9.18 Bn | 2.85 Bn | 870.51 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.27 Bn |
| Mar 31, 2026 | 2.21 Bn |
| Dec 31, 2025 | 2.35 Bn |
| Sep 30, 2025 | 2.49 Bn |
| Jun 30, 2025 | 2.42 Bn |
| Mar 31, 2025 | 2.42 Bn |
| Dec 31, 2024 | 2.23 Bn |
| Sep 30, 2024 | 2.06 Bn |
| Jun 30, 2024 | 1.83 Bn |
| Mar 31, 2024 | 1.92 Bn |
| Dec 31, 2023 | 2.16 Bn |
| Sep 30, 2023 | 2.04 Bn |
| Jun 30, 2023 | 2.11 Bn |
| Mar 31, 2023 | 1.79 Bn |
| Dec 31, 2022 | 1.92 Bn |
| Sep 30, 2022 | 1.55 Bn |
| Jun 30, 2022 | 1.23 Bn |
| Mar 31, 2022 | 1.20 Bn |
| Dec 31, 2021 | 1.13 Bn |
| Sep 30, 2021 | 1.13 Bn |
Nio Accumulated Expenses 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=accumulated-expenses&ticker=NIO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=NIO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();