Riskified (RSKD) Total Liabilities (2020 - 2026)
Riskified's Total Liabilities was $122.31 million in the quarter ended Jun 30, 2026, up 14.2% from $107.06 million a year earlier and up 19.2% from the prior quarter.
Riskified (RSKD) Total Liabilities (2020 - 2026) Analysis & Trends
As of Dec 31, 2025, Total Liabilities at Riskified came in at $115.81 million, up 2.0% from the prior year.
- Total Liabilities shows a five-year compound annual growth rate of -12.4% (years ended Dec 2020 to Dec 2025).
- In earlier years, Total Liabilities was $113.56 million in the year ended Dec 31, 2024 (+3.0%), $110.21 million in the year ended Dec 31, 2023 (-2.1%), $112.55 million in the year ended Dec 31, 2022 (+54.1%) and $73.04 million in the year ended Dec 31, 2021 (-67.5%).
- The figure for the quarter ended Jun 30, 2026 marks the highest quarterly Total Liabilities since the quarter ended Jun 30, 2021.
- Compared with a year earlier, Total Liabilities has increased for five straight quarters, with growth averaging 3.6% over the last eight quarters.
- The best year-over-year quarter for Total Liabilities over five years was the quarter ended Sep 30, 2022 (growth of 72.9%); the worst was the quarter ended Jun 30, 2022 (a decline of 68.0%).
- Per Business Quant data, RSKD's Total Liabilities in the three quarters before the quarter ended Jun 30, 2026 was $102.65 million (quarter ended Mar 31, 2026), $115.81 million (quarter ended Dec 31, 2025) and $105.4 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn | 20.97 Bn |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn | 6.89 Bn |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn | 9.31 Bn |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn | 6.54 Bn |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn | 3.18 Bn |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn | 3.81 Bn |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn | 2.17 Bn |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - | 5.27 Bn |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn | 27.69 Bn |
| 10 | Riskified | 1.21 Bn | 109.81 Mn | 44.97 Mn | 122.31 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 122.31 Mn |
| Mar 31, 2026 | 102.65 Mn |
| Dec 31, 2025 | 115.81 Mn |
| Sep 30, 2025 | 105.40 Mn |
| Jun 30, 2025 | 107.06 Mn |
| Mar 31, 2025 | 100.44 Mn |
| Dec 31, 2024 | 113.56 Mn |
| Sep 30, 2024 | 101.29 Mn |
| Jun 30, 2024 | 101.17 Mn |
| Mar 31, 2024 | 100.60 Mn |
| Dec 31, 2023 | 110.21 Mn |
| Sep 30, 2023 | 103.64 Mn |
| Jun 30, 2023 | 104.17 Mn |
| Mar 31, 2023 | 102.96 Mn |
| Dec 31, 2022 | 112.55 Mn |
| Sep 30, 2022 | 108.41 Mn |
| Jun 30, 2022 | 99.94 Mn |
| Mar 31, 2022 | 94.92 Mn |
| Dec 31, 2021 | 73.04 Mn |
| Sep 30, 2021 | 62.69 Mn |
Riskified Total Liabilities 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=total-liabilities&ticker=RSKD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=RSKD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();