Riskified (RSKD) Other Accumulated Expenses (2020 - 2026)
Riskified (RSKD) recorded Other Accumulated Expenses of $22.33 million in the quarter ended Jun 30, 2026, up 2.4% from $21.81 million a year earlier and up 28.8% from the prior quarter.
Riskified (RSKD) Other Accumulated Expenses (2020 - 2026) Analysis & Trends
As of Dec 31, 2025, Riskified reported Other Accumulated Expenses of $27.53 million, up 4.4% from the prior year.
- Annual Other Accumulated Expenses has a five-year compound annual growth rate of 12.1% (years ended Dec 2020 to Dec 2025).
- Across earlier years, Other Accumulated Expenses came in at $26.37 million in the year ended Dec 31, 2024 (+9.8%), $24.02 million in the year ended Dec 31, 2023 (-0.5%), $24.13 million in the year ended Dec 31, 2022 (-2.5%) and $24.75 million in the year ended Dec 31, 2021 (+59.2%).
- Quarterly Other Accumulated Expenses has ranged from $17.34 million in the quarter ended Mar 31, 2026 to $27.53 million in the quarter ended Dec 31, 2025 over the past five years.
- On a year-over-year basis, Other Accumulated Expenses rose in six of the last eight quarters, with growth averaging 1.6%.
- Peak year-over-year performance for Other Accumulated Expenses in the last five years was growth of 59.2% in the quarter ended Dec 31, 2021, against a decline of 17.4% in the quarter ended Mar 31, 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $17.34 million (quarter ended Mar 31, 2026), $27.53 million (quarter ended Dec 31, 2025) and $20.82 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palo Alto Networks | 328.64 Bn | 313.71 Bn | 2.30 Bn |
| 2 | CrowdStrike Holdings | 276.50 Bn | 256.94 Bn | 1.10 Bn |
| 3 | Fortinet | 132.74 Bn | 118.67 Bn | 1.64 Bn |
| 4 | Snowflake | 120.19 Bn | 107.50 Bn | 1.04 Bn |
| 5 | Datadog | 99.51 Bn | 81.15 Bn | 881.34 Mn |
| 6 | Okta | 35.35 Bn | 25.44 Bn | 641.00 Mn |
| 7 | Axon Enterprise | 33.58 Bn | 28.10 Bn | 546.45 Mn |
| 8 | Zscaler | 32.06 Bn | 18.18 Bn | - |
| 9 | MongoDB | 28.84 Bn | 19.30 Bn | 569.77 Mn |
| 10 | Riskified | 1.24 Bn | 135.00 Mn | 44.97 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 22.33 Mn |
| Mar 31, 2026 | 17.34 Mn |
| Dec 31, 2025 | 27.53 Mn |
| Sep 30, 2025 | 20.82 Mn |
| Jun 30, 2025 | 21.81 Mn |
| Mar 31, 2025 | 18.33 Mn |
| Dec 31, 2024 | 26.37 Mn |
| Sep 30, 2024 | 20.22 Mn |
| Jun 30, 2024 | 19.49 Mn |
| Mar 31, 2024 | 22.20 Mn |
| Dec 31, 2023 | 24.02 Mn |
| Sep 30, 2023 | 19.42 Mn |
| Jun 30, 2023 | 17.90 Mn |
| Mar 31, 2023 | 20.49 Mn |
| Dec 31, 2022 | 24.13 Mn |
| Sep 30, 2022 | 20.30 Mn |
| Jun 30, 2022 | 18.55 Mn |
| Mar 31, 2022 | 17.43 Mn |
| Dec 31, 2021 | 24.75 Mn |
| Sep 30, 2021 | 17.99 Mn |
Riskified Other 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=other-accumulated-expenses&ticker=RSKD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-accumulated-expenses&ticker=RSKD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();