Reddit (RDDT) Selling, General & Administrative (2023 - 2026)
Reddit (RDDT) reported Selling, General & Administrative of $75.71 million for Q2 2026, up 10.1% from $68.79 million a year earlier and up 15.6% from the prior quarter.
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Analysis
Reddit (RDDT) Selling, General & Administrative (2023 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Reddit's Selling, General & Administrative came in at $282.32 million, up 1.7% year-over-year; for FY2025, it was $279.3 million, down 38.1% from FY2024.
- Selling, General & Administrative has a three-year compound annual growth rate of 24.8% (FY2022 to FY2025).
- By year, Selling, General & Administrative came in at $451.45 million in FY2024 (+174.2%), $164.66 million in FY2023 (+14.5%) and $143.82 million in FY2022.
- The Q2 2026 figure ranks as the highest quarterly Selling, General & Administrative since Q1 2024.
- Year over year, Selling, General & Administrative gained in five of the last eight quarters, with growth averaging 8.1%.
- The high point for year-over-year Selling, General & Administrative in five years was Q1 2024 (growth of 496.7%); the low point was Q1 2025 (a decline of 71.5%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $65.51 million (Q1 2026), $72.32 million (Q4 2025) and $68.77 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,185.47 Bn | 3,943.00 Bn | 73.85 Bn | 6.46 Bn |
| 2 | Meta Platforms | 1,794.56 Bn | 1,497.08 Bn | 49.47 Bn | 5.61 Bn |
| 3 | Netflix | 292.71 Bn | 252.90 Bn | 6.52 Bn | 498.85 Mn |
| 4 | Alibaba Group Holding | 251.74 Bn | 65.51 Bn | 15.11 Bn | -1.87 Bn |
| 5 | Shopify | 221.57 Bn | 198.76 Bn | 1.71 Bn | 136.00 Mn |
| 6 | Uber Technologies | 142.45 Bn | 114.25 Bn | 6.38 Bn | 935.00 Mn |
| 7 | Booking Holdings | 124.83 Bn | 57.88 Bn | - | 217.00 Mn |
| 8 | PDD Holdings | 113.76 Bn | -130.01 Bn | 9.45 Bn | -345.00 Mn |
| 9 | Spotify Technology | 106.73 Bn | 64.23 Bn | 1.86 Bn | 172.03 Mn |
| 10 | 29.87 Bn | 19.61 Bn | 734.60 Mn | 75.71 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 75.71 Mn |
| Mar 31, 2026 | 65.51 Mn |
| Dec 31, 2025 | 72.32 Mn |
| Sep 30, 2025 | 68.77 Mn |
| Jun 30, 2025 | 68.79 Mn |
| Mar 31, 2025 | 69.41 Mn |
| Dec 31, 2024 | 73.83 Mn |
| Sep 30, 2024 | 65.65 Mn |
| Jun 30, 2024 | 68.49 Mn |
| Mar 31, 2024 | 243.48 Mn |
| Dec 31, 2023 | 48.33 Mn |
| Sep 30, 2023 | 37.30 Mn |
| Jun 30, 2023 | 38.23 Mn |
| Mar 31, 2023 | 40.80 Mn |
API Access
Reddit Selling, General & Administrative 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=selling-general-and-administrative&ticker=RDDT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=RDDT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();