IonQ (IONQ) Accumulated Expenses (2020 - 2026)
IonQ's Accumulated Expenses came in at $97.01 million for Q2 2026, up 97.2% from $49.19 million a year earlier and up 48.2% from the prior quarter.
Analysis
IonQ (IONQ) Accumulated Expenses (2020 - 2026) Analysis & Trends
At the end of FY2025, IonQ's Accumulated Expenses was $89.72 million, up 433.7% from FY2024.
- Accumulated Expenses carries a five-year compound annual growth rate of 171.5% (FY2020 to FY2025).
- Going back by year, Accumulated Expenses was $16.81 million in FY2024 (-8.5%), $18.38 million in FY2023 (+176.1%), $6.66 million in FY2022 (+151.4%) and $2.65 million in FY2021 (+335.4%).
- The Q2 2026 figure represents the highest quarterly Accumulated Expenses in data going back to Q3 2020.
- Year-over-year, Accumulated Expenses has increased for six consecutive quarters, with growth averaging 220.1% over the last eight quarters.
- The fastest year-over-year change in Accumulated Expenses over five years came in Q3 2025 (growth of 486.7%), and the weakest in Q4 2024 (a decline of 8.5%).
- Business Quant data shows IONQ's Accumulated Expenses at $65.44 million (Q1 2026), $89.72 million (Q4 2025) and $91.86 million (Q3 2025) in the three quarters before Q2 2026.
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 | IonQ | 16.72 Bn | 9.10 Bn | 19.94 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 97.01 Mn |
| Mar 31, 2026 | 65.44 Mn |
| Dec 31, 2025 | 89.72 Mn |
| Sep 30, 2025 | 91.86 Mn |
| Jun 30, 2025 | 49.19 Mn |
| Mar 31, 2025 | 23.60 Mn |
| Dec 31, 2024 | 16.81 Mn |
| Sep 30, 2024 | 15.66 Mn |
| Jun 30, 2024 | 8.93 Mn |
| Mar 31, 2024 | 10.54 Mn |
| Dec 31, 2023 | 18.38 Mn |
| Sep 30, 2023 | 15.70 Mn |
| Jun 30, 2023 | 9.25 Mn |
| Mar 31, 2023 | 9.41 Mn |
| Dec 31, 2022 | 6.66 Mn |
| Sep 30, 2022 | 8.18 Mn |
| Jun 30, 2022 | 4.02 Mn |
| Mar 31, 2022 | 4.30 Mn |
| Dec 31, 2021 | 2.65 Mn |
| Sep 30, 2021 | 3.48 Mn |
API Access
IonQ 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=IONQ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "IONQ", "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=IONQ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();