Richtech Robotics (RR) Operating Expenses (2022 - 2026)
Richtech Robotics' Operating Expenses was $14.07 million in fiscal Q3 2026 (quarter ended Jun 30, 2026), up 530.9% from $2.23 million a year earlier and up 146.9% from the prior quarter.
Richtech Robotics (RR) Operating Expenses (2022 - 2026) Analysis & Trends
On a trailing twelve-month basis, Richtech Robotics' Operating Expenses was $38.76 million through Jun 30, 2026, up 135.0% year-over-year; for FY2025 (ended Sep 30, 2025), it came in at $19.01 million, up 81.3% from FY2024.
- Operating Expenses has now increased for three consecutive fiscal years, with a three-year compound annual growth rate of 63.8% (FY2022 to FY2025).
- In earlier fiscal years, Operating Expenses was $10.48 million in FY2024 (+83.1%), $5.73 million in FY2023 (+32.3%) and $4.33 million in FY2022.
- The fiscal Q3 2026 figure marks the highest quarterly Operating Expenses in data going back to fiscal Q1 2023.
- Compared with a year earlier, Operating Expenses has increased for 11 straight quarters, with growth averaging 158.6% over the last eight quarters.
- The year-over-year growth in Operating Expenses has ranged between 4.6% (fiscal Q2 2026) and 530.9% (fiscal Q3 2026) over the last five years.
- Per Business Quant data, RR's Operating Expenses in the three fiscal quarters before Q3 2026 was $5.7 million (Q2 2026), $12.4 million (Q1 2026) and $6.59 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Aurora Innovation | 10.57 Bn | 5.60 Bn | -5.00 Mn | 261.00 Mn |
| 2 | Mobileye Global | 6.38 Bn | 273.40 Mn | 235.00 Mn | 265.00 Mn |
| 3 | Pony AI | 3.01 Bn | 3.08 Bn | 6.35 Mn | -72.09 Mn |
| 4 | WeRide | 1.89 Bn | -1.13 Bn | 12.76 Mn | -73.92 Mn |
| 5 | Securetech Innovations | 781.01 Mn | 780.42 Mn | - | - |
| 6 | Kodiak AI | 440.77 Mn | -67.35 Mn | - | 47.18 Mn |
| 7 | Serve Robotics | 383.18 Mn | 383.18 Mn | -8.78 Mn | 57.29 Mn |
| 8 | Richtech Robotics | 352.29 Mn | 352.29 Mn | 802,000.00 | 14.07 Mn |
| 9 | ECARX Holdings | 350.87 Mn | -10.95 Mn | 44.50 Mn | -50.70 Mn |
| 10 | Palladyne AI | 259.48 Mn | 67.85 Mn | 1.68 Mn | 19.20 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 14.07 Mn |
| Mar 31, 2026 | 5.70 Mn |
| Dec 31, 2025 | 12.40 Mn |
| Sep 30, 2025 | 6.59 Mn |
| Jun 30, 2025 | 2.23 Mn |
| Mar 31, 2025 | 5.45 Mn |
| Dec 31, 2024 | 4.74 Mn |
| Sep 30, 2024 | 4.08 Mn |
| Jun 30, 2024 | 1.91 Mn |
| Mar 31, 2024 | 1.63 Mn |
| Dec 31, 2023 | 2.87 Mn |
| Sep 30, 2023 | 1.39 Mn |
| Jun 30, 2023 | 1.31 Mn |
| Mar 31, 2023 | 1.33 Mn |
| Dec 31, 2022 | 1.70 Mn |
Richtech Robotics Operating 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=operating-expenses&ticker=RR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "RR", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=operating-expenses&ticker=RR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();