Reddit (RDDT) Accumulated Expenses (2023 - 2026)
Reddit's Accumulated Expenses came in at $240.82 million for Q2 2026, up 71.6% from $140.32 million a year earlier and up 16.4% from the prior quarter.
Analysis
Reddit (RDDT) Accumulated Expenses (2023 - 2026) Analysis & Trends
At the end of FY2025, Reddit's Accumulated Expenses was $201.33 million, up 61.8% from FY2024.
- Going back by year, Accumulated Expenses was $124.46 million in FY2024 (+49.3%) and $83.35 million in FY2023.
- The Q2 2026 figure represents the highest quarterly Accumulated Expenses in data going back to Q4 2023.
- Year-over-year, Accumulated Expenses has increased for seven consecutive quarters, with growth averaging 51.4% over the last seven quarters.
- Business Quant data shows RDDT's Accumulated Expenses at $206.97 million (Q1 2026), $201.33 million (Q4 2025) and $148.4 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 | 29.87 Bn | 19.61 Bn | 734.60 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 240.82 Mn |
| Mar 31, 2026 | 206.97 Mn |
| Dec 31, 2025 | 201.33 Mn |
| Sep 30, 2025 | 148.40 Mn |
| Jun 30, 2025 | 140.32 Mn |
| Mar 31, 2025 | 136.58 Mn |
| Dec 31, 2024 | 124.46 Mn |
| Sep 30, 2024 | 104.84 Mn |
| Jun 30, 2024 | 89.82 Mn |
| Mar 31, 2024 | 106.72 Mn |
| Dec 31, 2023 | 83.35 Mn |
API Access
Reddit 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=RDDT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=RDDT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();