Reddit (RDDT) Operating Expenses (2023 - 2026)
Reddit's Operating Expenses was $573.19 million in Q2 2026, up 32.7% from $431.92 million a year earlier and up 19.3% from the prior quarter.
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Analysis
Reddit (RDDT) Operating Expenses (2023 - 2026) Analysis & Trends
On a trailing twelve-month basis, Reddit's Operating Expenses was $1.99 billion through Jun 30, 2026, up 29.7% year-over-year; for FY2025, it came in at $1.76 billion, down 5.4% from FY2024.
- Operating Expenses shows a three-year compound annual growth rate of 28.0% (FY2022 to FY2025).
- In earlier years, Operating Expenses was $1.86 billion in FY2024 (+97.1%), $944.19 million in FY2023 (+12.6%) and $838.86 million in FY2022.
- The Q2 2026 figure marks the highest quarterly Operating Expenses since Q1 2024.
- Compared with a year earlier, Operating Expenses has increased for five straight quarters, with growth averaging 25.8% over the last eight quarters.
- The best year-over-year quarter for Operating Expenses over five years was Q1 2024 (growth of 255.1%); the worst was Q1 2025 (a decline of 53.3%).
- Per Business Quant data, RDDT's Operating Expenses in the three quarters before Q2 2026 was $480.5 million (Q1 2026), $493.78 million (Q4 2025) and $446.37 million (Q3 2025).
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 | 29.87 Bn | 19.61 Bn | 734.60 Mn | 573.19 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 573.19 Mn |
| Mar 31, 2026 | 480.50 Mn |
| Dec 31, 2025 | 493.78 Mn |
| Sep 30, 2025 | 446.37 Mn |
| Jun 30, 2025 | 431.92 Mn |
| Mar 31, 2025 | 388.46 Mn |
| Dec 31, 2024 | 374.84 Mn |
| Sep 30, 2024 | 341.50 Mn |
| Jun 30, 2024 | 312.22 Mn |
| Mar 31, 2024 | 832.22 Mn |
| Dec 31, 2023 | 246.74 Mn |
| Sep 30, 2023 | 227.09 Mn |
| Jun 30, 2023 | 236.02 Mn |
| Mar 31, 2023 | 234.34 Mn |
API Access
Reddit 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=RDDT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "RDDT", "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=RDDT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();