Reddit (RDDT) Receivables (2023 - 2026)
Reddit's Receivables was $650.1 million in Q2 2026, up 49.8% from $434.1 million a year earlier and up 24.3% from the prior quarter.
Analysis
Reddit (RDDT) Receivables (2023 - 2026) Analysis & Trends
At the end of FY2025, Receivables at Reddit came in at $590.16 million, up 63.5% from FY2024.
- In earlier years, Receivables was $361.03 million in FY2024 (+44.4%) and $249.97 million in FY2023.
- The Q2 2026 figure marks the highest quarterly Receivables in data going back to Q4 2023.
- Compared with a year earlier, Receivables has increased for seven straight quarters, with growth averaging 58.3% over the last seven quarters.
- Per Business Quant data, RDDT's Receivables in the three quarters before Q2 2026 was $522.91 million (Q1 2026), $590.16 million (Q4 2025) and $511.87 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,185.47 Bn | 3,943.00 Bn | 73.85 Bn | 69.18 Bn |
| 2 | Meta Platforms | 1,794.56 Bn | 1,497.08 Bn | 49.47 Bn | 21.75 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 | 466.00 Mn |
| 6 | Uber Technologies | 142.45 Bn | 114.25 Bn | 6.38 Bn | 4.30 Bn |
| 7 | Booking Holdings | 124.83 Bn | 57.88 Bn | - | 4.34 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 | 890.92 Mn |
| 10 | 29.87 Bn | 19.61 Bn | 734.60 Mn | 650.10 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 650.10 Mn |
| Mar 31, 2026 | 522.91 Mn |
| Dec 31, 2025 | 590.16 Mn |
| Sep 30, 2025 | 511.87 Mn |
| Jun 30, 2025 | 434.10 Mn |
| Mar 31, 2025 | 344.54 Mn |
| Dec 31, 2024 | 361.03 Mn |
| Sep 30, 2024 | 290.42 Mn |
| Jun 30, 2024 | 254.18 Mn |
| Mar 31, 2024 | 226.96 Mn |
| Dec 31, 2023 | 249.97 Mn |
API Access
Reddit Receivables 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=receivables&ticker=RDDT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=RDDT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();