Snap (SNAP) Accumulated Expenses (2016 - 2026)
Snap's Accumulated Expenses came in at $1.05 billion for Q2 2026, up 10.5% from $954.01 million a year earlier and up 17.8% from the prior quarter.
Analysis
Snap (SNAP) Accumulated Expenses (2016 - 2026) Analysis & Trends
At the end of FY2025, Snap's Accumulated Expenses was $971.63 million, down 3.7% from FY2024.
- Accumulated Expenses carries a five-year compound annual growth rate of 11.9% (FY2020 to FY2025).
- Going back by year, Accumulated Expenses was $1.01 billion in FY2024 (+25.2%), $805.84 million in FY2023 (-18.4%), $987.34 million in FY2022 (+46.5%) and $674.11 million in FY2021 (+21.6%).
- The Q2 2026 figure represents the highest quarterly Accumulated Expenses in data going back to Q4 2016.
- Year-over-year, Accumulated Expenses increased in six of the last eight quarters, with growth averaging 8.5%.
- The fastest year-over-year change in Accumulated Expenses over five years came in Q1 2023 (growth of 47.2%), and the weakest in Q4 2023 (a decline of 18.4%).
- Business Quant data shows SNAP's Accumulated Expenses at $895.36 million (Q1 2026), $971.63 million (Q4 2025) and $976.55 million (Q3 2025) in the three quarters before Q2 2026.
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 | Snap | 10.47 Bn | -945.18 Mn | 931.11 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.05 Bn |
| Mar 31, 2026 | 895.36 Mn |
| Dec 31, 2025 | 971.63 Mn |
| Sep 30, 2025 | 976.55 Mn |
| Jun 30, 2025 | 954.01 Mn |
| Mar 31, 2025 | 796.26 Mn |
| Dec 31, 2024 | 1.01 Bn |
| Sep 30, 2024 | 921.39 Mn |
| Jun 30, 2024 | 875.12 Mn |
| Mar 31, 2024 | 829.58 Mn |
| Dec 31, 2023 | 805.84 Mn |
| Sep 30, 2023 | 818.92 Mn |
| Jun 30, 2023 | 716.17 Mn |
| Mar 31, 2023 | 898.90 Mn |
| Dec 31, 2022 | 987.34 Mn |
| Sep 30, 2022 | 893.41 Mn |
| Jun 30, 2022 | 830.84 Mn |
| Mar 31, 2022 | 610.73 Mn |
| Dec 31, 2021 | 674.11 Mn |
| Sep 30, 2021 | 660.54 Mn |
API Access
Snap 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=SNAP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "SNAP", "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=SNAP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();