Kidoz (KDOZF) Operating Expenses (2010 - 2026)
Kidoz (KDOZF) reported Operating Expenses of $2.99 million for Q2 2026, up 28.9% from $2.32 million a year earlier and up 36.0% from the prior quarter.
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Analysis
Kidoz (KDOZF) Operating Expenses (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Kidoz's Operating Expenses came in at $8.49 trillion, up 21.7% year-over-year; for FY2025, it was $8.49 trillion, up 21.7% from FY2024.
- Operating Expenses has a five-year compound annual growth rate of 20.6% (FY2020 to FY2025).
- By year, Operating Expenses came in at $6.98 trillion in FY2024 (-0.2%), $6.99 trillion in FY2023 (+7.5%), $6.5 trillion in FY2022 (+22.8%) and $5.3 trillion in FY2021 (+58.9%).
- Five-year quarterly Operating Expenses spans a low of $1.3 million in Q3 2021 and a high of $8.49 trillion in Q4 2025.
- Year over year, Operating Expenses has now increased in each of the last four quarters, with growth averaging 15.1% over the last eight quarters.
- The high point for year-over-year Operating Expenses in five years was Q4 2024 (growth of 304.8%); the low point was Q3 2024 (a decline of 100.0%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $2.2 million (Q1 2026), $8.49 trillion (Q4 2025) and $1.98 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,142.52 Bn | 3,900.05 Bn | 73.85 Bn | 79.03 Bn |
| 2 | Meta Platforms | 1,882.44 Bn | 1,584.96 Bn | 49.47 Bn | 42.03 Bn |
| 3 | Netflix | 292.72 Bn | 252.92 Bn | 6.52 Bn | 1.51 Bn |
| 4 | Alibaba Group Holding | 250.25 Bn | 68.12 Bn | 15.11 Bn | -5.17 Bn |
| 5 | Shopify | 192.03 Bn | 169.21 Bn | 1.71 Bn | 1.22 Bn |
| 6 | Uber Technologies | 141.56 Bn | 113.53 Bn | 6.38 Bn | 12.30 Bn |
| 7 | Booking Holdings | 121.98 Bn | 55.03 Bn | - | 4.85 Bn |
| 8 | PDD Holdings | 110.31 Bn | -141.62 Bn | 9.45 Bn | -5.39 Bn |
| 9 | AppLovin | 102.49 Bn | 92.52 Bn | 1.70 Bn | 429.41 Mn |
| 10 | Kidoz | 13.13 Mn | 13.13 Mn | 1.42 Mn | 2.99 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.99 Mn |
| Mar 31, 2026 | 2.20 Mn |
| Dec 31, 2025 | 8,492.87 Bn |
| Sep 30, 2025 | 1.98 Mn |
| Jun 30, 2025 | 2.32 Mn |
| Mar 31, 2025 | 1.54 Mn |
| Dec 31, 2024 | 6,977.77 Bn |
| Sep 30, 2024 | 1.62 Mn |
| Jun 30, 2024 | 1,627.10 Bn |
| Mar 31, 2024 | 1,651.88 Bn |
| Dec 31, 2023 | 1,723.57 Bn |
| Sep 30, 2023 | 1,769.59 Bn |
| Jun 30, 2023 | 1,746.70 Bn |
| Mar 31, 2023 | 1,749.29 Bn |
| Dec 31, 2022 | 1,848.62 Bn |
| Sep 30, 2022 | 1,493.29 Bn |
| Jun 30, 2022 | 1,609.33 Bn |
| Mar 31, 2022 | 1,550.85 Bn |
| Dec 31, 2021 | 5,296.59 Bn |
| Sep 30, 2021 | 1.30 Mn |
API Access
Kidoz 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=KDOZF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "KDOZF", "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=KDOZF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();