Bilibili (BILI) Accumulated Expenses (2017 - 2026)
Bilibili (BILI) posted Accumulated Expenses of $541.11 million for Q2 2026, up 28.7% from $420.54 million a year earlier and up 5.6% from the prior quarter.
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Analysis
Bilibili (BILI) Accumulated Expenses (2017 - 2026) Analysis & Trends
At the end of FY2025, Bilibili's Accumulated Expenses came in at $453.96 million, up 29.7% from FY2024.
- Annual Accumulated Expenses has increased for three consecutive years, with a five-year compound annual growth rate of 19.1% (FY2020 to FY2025).
- In prior years, Bilibili's Accumulated Expenses was $349.94 million in FY2024 (+39.5%), $250.8 million in FY2023 (+12.7%), $222.55 million in FY2022 (-41.3%) and $379.27 million in FY2021 (+100.0%).
- The Q2 2026 figure stands as the highest quarterly Accumulated Expenses in data going back to Q4 2017.
- On a year-over-year basis, Accumulated Expenses has increased in each of the last 11 quarters, with growth averaging 30.6% over the last eight quarters.
- The strongest year-over-year quarter for Accumulated Expenses in the past five years was Q4 2021, with growth of 102.4%; the weakest was Q4 2022, with a decline of 42.9%.
- According to Business Quant data, Accumulated Expenses for the three prior quarters was $512.35 million (Q1 2026), $447.59 million (Q4 2025) and $442.88 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Alphabet | 4,185.47 Bn | 3,943.00 Bn | 73.85 Bn |
| 2 | Meta Platforms | 1,794.56 Bn | 1,497.08 Bn | 49.47 Bn |
| 3 | Netflix | 292.71 Bn | 252.90 Bn | 6.52 Bn |
| 4 | Alibaba Group Holding | 251.74 Bn | 65.51 Bn | 15.11 Bn |
| 5 | Shopify | 221.57 Bn | 198.76 Bn | 1.71 Bn |
| 6 | Uber Technologies | 142.45 Bn | 114.25 Bn | 6.38 Bn |
| 7 | Booking Holdings | 124.83 Bn | 57.88 Bn | - |
| 8 | PDD Holdings | 113.76 Bn | -130.01 Bn | 9.45 Bn |
| 9 | Spotify Technology | 106.73 Bn | 64.23 Bn | 1.86 Bn |
| 10 | Bilibili | 11.74 Bn | 2.21 Bn | 433.97 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 542.35 Mn |
| Mar 31, 2026 | 513.46 Mn |
| Dec 31, 2025 | 453.76 Mn |
| Sep 30, 2025 | 445.23 Mn |
| Jun 30, 2025 | 424.12 Mn |
| Mar 31, 2025 | 391.75 Mn |
| Dec 31, 2024 | 349.99 Mn |
| Sep 30, 2024 | 370.89 Mn |
| Jun 30, 2024 | 349.20 Mn |
| Mar 31, 2024 | 284.92 Mn |
| Dec 31, 2023 | 250.54 Mn |
| Sep 30, 2023 | 261.03 Mn |
| Jun 30, 2023 | 221.92 Mn |
| Mar 31, 2023 | 233.93 Mn |
| Dec 31, 2022 | 220.44 Mn |
| Sep 30, 2022 | 288.52 Mn |
| Jun 30, 2022 | 321.98 Mn |
| Mar 31, 2022 | 332.58 Mn |
| Dec 31, 2021 | 379.30 Mn |
| Sep 30, 2021 | 296.44 Mn |
API Access
Bilibili 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=BILI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "BILI", "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=BILI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();