Riskified (RSKD) Receivables (2020 - 2026)
Riskified (RSKD) recorded Receivables of $43.16 million in the quarter ended Jun 30, 2026, up 29.4% from $33.37 million a year earlier and up 26.7% from the prior quarter.
Riskified (RSKD) Receivables (2020 - 2026) Analysis & Trends
As of Dec 31, 2025, Riskified reported Receivables of $48.45 million, up 1.4% from the prior year.
- Annual Receivables has increased for four straight years, with a five-year compound annual growth rate of 5.4% (years ended Dec 2020 to Dec 2025).
- Across earlier years, Receivables came in at $47.8 million in the year ended Dec 31, 2024 (+2.0%), $46.89 million in the year ended Dec 31, 2023 (+24.9%), $37.55 million in the year ended Dec 31, 2022 (+5.8%) and $35.48 million in the year ended Dec 31, 2021 (-4.6%).
- Quarterly Receivables has ranged from $23.46 million in the quarter ended Sep 30, 2021 to $48.45 million in the quarter ended Dec 31, 2025 over the past five years.
- On a year-over-year basis, Receivables has increased for three consecutive quarters, with growth averaging 2.4% over the last eight quarters.
- Peak year-over-year performance for Receivables in the last five years was growth of 34.2% in the quarter ended Jun 30, 2023, against a decline of 16.7% in the quarter ended Jun 30, 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $34.07 million (quarter ended Mar 31, 2026), $48.45 million (quarter ended Dec 31, 2025) and $30.85 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn | 3.63 Bn |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn | 1.04 Bn |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn | 1.46 Bn |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn | 718.46 Mn |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn | 975.55 Mn |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn | 1.52 Bn |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn | 469.00 Mn |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - | 1.15 Bn |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn | 2.09 Bn |
| 10 | Riskified | 1.21 Bn | 109.81 Mn | 44.97 Mn | 43.16 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 43.16 Mn |
| Mar 31, 2026 | 34.07 Mn |
| Dec 31, 2025 | 48.45 Mn |
| Sep 30, 2025 | 30.85 Mn |
| Jun 30, 2025 | 33.37 Mn |
| Mar 31, 2025 | 32.12 Mn |
| Dec 31, 2024 | 47.80 Mn |
| Sep 30, 2024 | 34.30 Mn |
| Jun 30, 2024 | 40.08 Mn |
| Mar 31, 2024 | 33.68 Mn |
| Dec 31, 2023 | 46.89 Mn |
| Sep 30, 2023 | 30.75 Mn |
| Jun 30, 2023 | 38.02 Mn |
| Mar 31, 2023 | 28.51 Mn |
| Dec 31, 2022 | 37.55 Mn |
| Sep 30, 2022 | 30.51 Mn |
| Jun 30, 2022 | 28.33 Mn |
| Mar 31, 2022 | 23.64 Mn |
| Dec 31, 2021 | 35.48 Mn |
| Sep 30, 2021 | 23.46 Mn |
Riskified 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=RSKD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "ticker": "RSKD", "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=RSKD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();