Snail (SNAL) Operating Expenses (2021 - 2026)
Snail (SNAL) reported Operating Expenses of $9.62 million for Q1 2026, down 3.3% from $9.95 million a year earlier and down 13.4% from the prior quarter.
Powered by 
Analysis
Snail (SNAL) Operating Expenses (2021 - 2026) Analysis & Trends
Over the twelve months ended Mar 31, 2026, Snail's Operating Expenses came in at $39.36 million, up 23.0% year-over-year; for FY2025, it came in at $39.69 million, up 50.7% from FY2024.
- Operating Expenses has a four-year compound annual growth rate of 3.4% (FY2021 to FY2025).
- By year, Operating Expenses came in at $26.34 million in FY2024 (+15.1%), $22.89 million in FY2023 (-0.2%), $22.93 million in FY2022 (-34.0%) and $34.75 million in FY2021.
- Five-year quarterly Operating Expenses spans a low of $4.28 million in Q1 2024 and a high of $20.2 million in Q4 2021.
- Year over year, Operating Expenses gained in seven of the last eight quarters, with growth averaging 42.4%.
- The high point for year-over-year Operating Expenses in five years was Q1 2025 (growth of 132.3%); the low point was Q4 2022 (a decline of 60.8%).
- Per Business Quant data, the three quarters before Q1 2026 came in at $11.11 million (Q4 2025), $9.86 million (Q3 2025) and $8.77 million (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,164.76 Bn | 3,922.28 Bn | 73.85 Bn | 79.03 Bn |
| 2 | Meta Platforms | 1,823.40 Bn | 1,525.92 Bn | 49.47 Bn | 42.03 Bn |
| 3 | Netflix | 288.27 Bn | 248.47 Bn | 6.52 Bn | 1.51 Bn |
| 4 | Alibaba Group Holding | 252.72 Bn | 70.58 Bn | 15.11 Bn | -5.17 Bn |
| 5 | Shopify | 186.52 Bn | 163.71 Bn | 1.71 Bn | 1.22 Bn |
| 6 | Uber Technologies | 139.11 Bn | 111.09 Bn | 6.38 Bn | 12.30 Bn |
| 7 | Booking Holdings | 123.13 Bn | 56.18 Bn | - | 4.85 Bn |
| 8 | PDD Holdings | 111.72 Bn | -140.21 Bn | 9.45 Bn | -5.39 Bn |
| 9 | AppLovin | 103.35 Bn | 93.38 Bn | 1.70 Bn | 429.41 Mn |
| 10 | Snail | 21.40 Mn | 21.40 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 9.62 Mn |
| Dec 31, 2025 | 11.11 Mn |
| Sep 30, 2025 | 9.86 Mn |
| Jun 30, 2025 | 8.77 Mn |
| Mar 31, 2025 | 9.95 Mn |
| Dec 31, 2024 | 8.33 Mn |
| Sep 30, 2024 | 8.30 Mn |
| Jun 30, 2024 | 5.43 Mn |
| Mar 31, 2024 | 4.28 Mn |
| Dec 31, 2023 | 6.25 Mn |
| Sep 30, 2023 | 5.10 Mn |
| Jun 30, 2023 | 5.42 Mn |
| Mar 31, 2023 | 6.12 Mn |
| Dec 31, 2022 | 7.92 Mn |
| Sep 30, 2022 | 4.92 Mn |
| Jun 30, 2022 | 4.78 Mn |
| Mar 31, 2022 | 6.13 Mn |
| Dec 31, 2021 | 20.20 Mn |
| Sep 30, 2021 | 4.57 Mn |
API Access
Snail 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=SNAL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "SNAL", "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=SNAL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();