Snap (SNAP) Operating Expenses (2016 - 2026)
Snap's Operating Expenses came in at $1.77 billion for Q2 2026, up 10.3% from $1.6 billion a year earlier and up 10.4% from the prior quarter.
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Analysis
Snap (SNAP) Operating Expenses (2016 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Snap reported Operating Expenses of $6.67 billion, up 6.1% year-over-year; for FY2025, it came in at $6.46 billion, up 5.1% from FY2024.
- Operating Expenses has increased in each of the last seven years, with a five-year compound annual growth rate of 13.9% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $6.15 billion in FY2024 (+2.4%), $6 billion in FY2023 (+0.1%), $6 billion in FY2022 (+24.4%) and $4.82 billion in FY2021 (+43.1%).
- The Q2 2026 figure represents the highest quarterly Operating Expenses since Q1 2017.
- Year-over-year, Operating Expenses has increased for six consecutive quarters, with growth averaging 3.8% over the last eight quarters.
- The fastest year-over-year change in Operating Expenses over five years came in Q3 2021 (growth of 47.5%), and the weakest in Q2 2023 (a decline of 2.6%).
- Business Quant data shows SNAP's Operating Expenses at $1.6 billion (Q1 2026), $1.67 billion (Q4 2025) and $1.64 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,185.47 Bn | 3,943.00 Bn | 73.85 Bn | 79.03 Bn |
| 2 | Meta Platforms | 1,794.56 Bn | 1,497.08 Bn | 49.47 Bn | 42.03 Bn |
| 3 | Netflix | 292.71 Bn | 252.90 Bn | 6.52 Bn | 1.51 Bn |
| 4 | Alibaba Group Holding | 251.74 Bn | 65.51 Bn | 15.11 Bn | -5.17 Bn |
| 5 | Shopify | 221.57 Bn | 198.76 Bn | 1.71 Bn | 1.22 Bn |
| 6 | Uber Technologies | 142.45 Bn | 114.25 Bn | 6.38 Bn | 12.30 Bn |
| 7 | Booking Holdings | 124.83 Bn | 57.88 Bn | - | 4.85 Bn |
| 8 | PDD Holdings | 113.76 Bn | -130.01 Bn | 9.45 Bn | -5.39 Bn |
| 9 | Spotify Technology | 106.73 Bn | 64.23 Bn | 1.86 Bn | 640.46 Mn |
| 10 | Snap | 10.47 Bn | -945.18 Mn | 931.11 Mn | 1.77 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.77 Bn |
| Mar 31, 2026 | 1.60 Bn |
| Dec 31, 2025 | 1.67 Bn |
| Sep 30, 2025 | 1.64 Bn |
| Jun 30, 2025 | 1.60 Bn |
| Mar 31, 2025 | 1.56 Bn |
| Dec 31, 2024 | 1.58 Bn |
| Sep 30, 2024 | 1.55 Bn |
| Jun 30, 2024 | 1.49 Bn |
| Mar 31, 2024 | 1.53 Bn |
| Dec 31, 2023 | 1.61 Bn |
| Sep 30, 2023 | 1.57 Bn |
| Jun 30, 2023 | 1.47 Bn |
| Mar 31, 2023 | 1.35 Bn |
| Dec 31, 2022 | 1.59 Bn |
| Sep 30, 2022 | 1.56 Bn |
| Jun 30, 2022 | 1.51 Bn |
| Mar 31, 2022 | 1.33 Bn |
| Dec 31, 2021 | 1.32 Bn |
| Sep 30, 2021 | 1.25 Bn |
API Access
Snap Operating 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=operating-expenses&ticker=SNAP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=SNAP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();