Riskified (RSKD) Accumulated Expenses (2020 - 2026)
Riskified (RSKD) reported Accumulated Expenses of $17.63 million for the quarter ended Jun 30, 2026, up 6.4% from $16.56 million a year earlier and up 21.7% from the prior quarter.
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Analysis
Riskified (RSKD) Accumulated Expenses (2020 - 2026) Analysis & Trends
As of Dec 31, 2025, Riskified posted Accumulated Expenses of $12.47 million, down 9.5% from the prior year.
- Accumulated Expenses has a five-year compound annual growth rate of 1.0% (years ended Dec 2020 to Dec 2025).
- By year, Accumulated Expenses came in at $13.78 million in the year ended Dec 31, 2024 (+7.7%), $12.8 million in the year ended Dec 31, 2023 (-19.1%), $15.81 million in the year ended Dec 31, 2022 (+18.8%) and $13.31 million in the year ended Dec 31, 2021 (+12.4%).
- The figure for the quarter ended Jun 30, 2026 ranks as the highest quarterly Accumulated Expenses since the quarter ended Sep 30, 2023.
- Year over year, Accumulated Expenses gained in six of the last eight quarters, with growth averaging 6.1%.
- The high point for year-over-year Accumulated Expenses in five years was the quarter ended Mar 31, 2023 (growth of 33.7%); the low point was the quarter ended Mar 31, 2024 (a decline of 32.9%).
- Per Business Quant data, the three quarters before the quarter ended Jun 30, 2026 came in at $14.48 million (quarter ended Mar 31, 2026), $12.47 million (quarter ended Dec 31, 2025) and $15.77 million (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palo Alto Networks | 323.81 Bn | 308.88 Bn | 2.30 Bn |
| 2 | CrowdStrike Holdings | 271.09 Bn | 251.53 Bn | 1.10 Bn |
| 3 | Fortinet | 131.14 Bn | 117.07 Bn | 1.64 Bn |
| 4 | Snowflake | 119.71 Bn | 107.03 Bn | 1.04 Bn |
| 5 | Datadog | 98.30 Bn | 79.94 Bn | 881.34 Mn |
| 6 | Okta | 34.95 Bn | 25.05 Bn | 641.00 Mn |
| 7 | Axon Enterprise | 34.32 Bn | 28.85 Bn | 546.45 Mn |
| 8 | Zscaler | 32.52 Bn | 18.64 Bn | - |
| 9 | Baidu | 29.56 Bn | -44.07 Bn | 1.47 Mn |
| 10 | Riskified | 1.25 Bn | 146.02 Mn | 44.97 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 17.63 Mn |
| Mar 31, 2026 | 14.48 Mn |
| Dec 31, 2025 | 12.47 Mn |
| Sep 30, 2025 | 15.77 Mn |
| Jun 30, 2025 | 16.56 Mn |
| Mar 31, 2025 | 13.61 Mn |
| Dec 31, 2024 | 13.78 Mn |
| Sep 30, 2024 | 12.50 Mn |
| Jun 30, 2024 | 13.51 Mn |
| Mar 31, 2024 | 11.50 Mn |
| Dec 31, 2023 | 12.80 Mn |
| Sep 30, 2023 | 17.63 Mn |
| Jun 30, 2023 | 15.68 Mn |
| Mar 31, 2023 | 17.12 Mn |
| Dec 31, 2022 | 15.81 Mn |
| Sep 30, 2022 | 18.87 Mn |
| Jun 30, 2022 | 16.87 Mn |
| Mar 31, 2022 | 12.80 Mn |
| Dec 31, 2021 | 13.31 Mn |
| Sep 30, 2021 | 15.00 Mn |
API Access
Riskified 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=RSKD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=RSKD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();