Spotify Technology (SPOT) Accumulated Expenses (2017 - 2026)
Spotify Technology's Accumulated Expenses came in at $2.32 million for the quarter ended Jun 30, 2026, down 48.7% from $4.53 million a year earlier and down 0.7% from the prior quarter.
Spotify Technology (SPOT) Accumulated Expenses (2017 - 2026) Analysis & Trends
As of Dec 31, 2025, Spotify Technology's Accumulated Expenses was $2.33 million, down 56.4% from the prior year.
- Accumulated Expenses has declined in each of the last five years, with a five-year compound annual growth rate of -45.4% (years ended Dec 2020 to Dec 2025).
- Going back by year, Accumulated Expenses was $5.34 million in the year ended Dec 31, 2024 (-80.9%), $27.97 million in the year ended Dec 31, 2023 (-2.1%), $28.57 million in the year ended Dec 31, 2022 (-32.5%) and $42.33 million in the year ended Dec 31, 2021 (-11.7%).
- The five-year range for quarterly Accumulated Expenses is $1.17 million (the quarter ended Sep 30, 2025) to $43.63 million (the quarter ended Sep 30, 2021).
- Year-over-year, Accumulated Expenses has declined for nine consecutive quarters, with an average decline of 64.0% over the last eight quarters.
- The fastest year-over-year change in Accumulated Expenses over five years came in the quarter ended Mar 31, 2024 (growth of 1.2%), and the weakest in the quarter ended Dec 31, 2024 (a decline of 80.9%).
- Business Quant data shows SPOT's Accumulated Expenses at $2.34 million (quarter ended Mar 31, 2026), $2.33 million (quarter ended Dec 31, 2025) and $1.17 million (quarter ended Sep 30, 2025) in the three quarters before the quarter ended Jun 30, 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Alphabet | 4,273.02 Bn | 4,030.55 Bn | 73.85 Bn |
| 2 | Meta Platforms | 1,882.67 Bn | 1,585.19 Bn | 49.47 Bn |
| 3 | Netflix | 292.72 Bn | 252.92 Bn | 6.52 Bn |
| 4 | Alibaba Group Holding | 258.66 Bn | 82.26 Bn | 15.11 Bn |
| 5 | Shopify | 221.29 Bn | 198.47 Bn | 1.71 Bn |
| 6 | Uber Technologies | 145.86 Bn | 117.84 Bn | 6.38 Bn |
| 7 | Booking Holdings | 120.48 Bn | 53.53 Bn | - |
| 8 | PDD Holdings | 115.79 Bn | -126.92 Bn | 9.45 Bn |
| 9 | Spotify Technology | 108.98 Bn | 66.21 Bn | 1.86 Bn |
| 10 | Airbnb | 97.86 Bn | 51.09 Bn | 2.98 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.32 Mn |
| Mar 31, 2026 | 2.34 Mn |
| Dec 31, 2025 | 2.33 Mn |
| Sep 30, 2025 | 1.17 Mn |
| Jun 30, 2025 | 4.53 Mn |
| Mar 31, 2025 | 4.21 Mn |
| Dec 31, 2024 | 5.34 Mn |
| Sep 30, 2024 | 5.49 Mn |
| Jun 30, 2024 | 11.85 Mn |
| Mar 31, 2024 | 18.47 Mn |
| Dec 31, 2023 | 27.97 Mn |
| Sep 30, 2023 | 15.24 Mn |
| Jun 30, 2023 | 15.24 Mn |
| Mar 31, 2023 | 18.25 Mn |
| Dec 31, 2022 | 28.57 Mn |
| Sep 30, 2022 | 31.26 Mn |
| Jun 30, 2022 | 30.94 Mn |
| Mar 31, 2022 | 33.67 Mn |
| Dec 31, 2021 | 42.33 Mn |
| Sep 30, 2021 | 43.63 Mn |
Spotify Technology 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=SPOT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "SPOT", "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=SPOT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();