IIOT-OXYS, Inc. (ITOX) Operating Expenses (2010 - 2026)
Iiot-Oxys (ITOX) reported Operating Expenses of $83,221 for Q2 2026, up 30.9% from the prior quarter.
IIOT-OXYS, Inc. (ITOX) Operating Expenses (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Iiot-Oxys' Operating Expenses came in at $581,047; for FY2025, it came in at $532,791, up 24.4% from FY2024.
- Operating Expenses has a five-year compound annual growth rate of -12.7% (FY2020 to FY2025).
- By year, Operating Expenses came in at $428,274 in FY2024 (-41.4%), $731,420 in FY2023 (-0.2%), $733,071 in FY2022 (-17.6%) and $889,141 in FY2021 (-15.2%).
- The Q2 2026 figure ranks as the highest quarterly Operating Expenses since Q1 2025.
- Year over year, Operating Expenses gained in two of the last four quarters, with an average decline of 2.2%.
- The high point for year-over-year Operating Expenses in five years was Q4 2023 (growth of 110.1%); the low point was Q4 2024 (a decline of 68.5%).
Peer Comparison
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 83,221.00 |
| Mar 31, 2026 | 63,589.00 |
| Sep 30, 2025 | 100,033.00 |
| Jun 30, 2025 | 120,973.00 |
| Mar 31, 2025 | 92,258.00 |
| Dec 31, 2024 | 101,088.00 |
| Sep 30, 2024 | 155,831.00 |
| Jun 30, 2024 | 104,671.00 |
| Mar 31, 2024 | 66,682.00 |
| Dec 31, 2023 | 320,663.00 |
| Sep 30, 2023 | 102,272.00 |
| Jun 30, 2023 | 130,080.00 |
| Mar 31, 2023 | 178,405.00 |
| Dec 31, 2022 | 152,599.00 |
| Sep 30, 2022 | 171,295.00 |
| Jun 30, 2022 | 229,962.00 |
| Mar 31, 2022 | 179,214.00 |
| Dec 31, 2021 | 114,100.00 |
| Sep 30, 2021 | 221,008.00 |
| Jun 30, 2021 | 281,273.00 |
IIOT-OXYS, Inc. 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=ITOX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "ITOX", "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=ITOX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();