Inuvo (INUV) Operating Expenses (2010 - 2025)
Inuvo's Operating Expenses came in at $10.68 million for Q4 2025, down 50.4% from $21.54 million a year earlier and down 41.5% from the prior quarter.
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Analysis
Inuvo (INUV) Operating Expenses (2010 - 2025) Analysis & Trends
For FY2025, Inuvo's Operating Expenses was $70.91 million, down 8.2% from FY2024.
- Operating Expenses carries a five-year compound annual growth rate of 9.8% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $77.27 million in FY2024 (+4.7%), $73.83 million in FY2023 (+27.3%), $58.01 million in FY2022 (+12.3%) and $51.68 million in FY2021 (+16.4%).
- The Q4 2025 figure represents the lowest quarterly Operating Expenses since Q3 2020.
- Year-over-year, Operating Expenses increased in four of the last eight quarters, with growth averaging 1.8%.
- The fastest year-over-year change in Operating Expenses over five years came in Q3 2023 (growth of 67.0%), and the weakest in Q4 2025 (a decline of 50.4%).
- Business Quant data shows INUV's Operating Expenses at $18.24 million (Q3 2025), $19.14 million (Q2 2025) and $22.86 million (Q1 2025) in the three quarters before Q4 2025.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,164.76 Bn | 3,922.28 Bn | 73.85 Bn | 79.03 Bn |
| 2 | Meta Platforms | 1,823.40 Bn | 1,525.92 Bn | 49.47 Bn | 42.03 Bn |
| 3 | Netflix | 288.27 Bn | 248.47 Bn | 6.52 Bn | 1.51 Bn |
| 4 | Alibaba Group Holding | 252.72 Bn | 70.58 Bn | 15.11 Bn | -5.17 Bn |
| 5 | Shopify | 186.52 Bn | 163.71 Bn | 1.71 Bn | 1.22 Bn |
| 6 | Uber Technologies | 139.11 Bn | 111.09 Bn | 6.38 Bn | 12.30 Bn |
| 7 | Booking Holdings | 123.13 Bn | 56.18 Bn | - | 4.85 Bn |
| 8 | PDD Holdings | 111.72 Bn | -140.21 Bn | 9.45 Bn | -5.39 Bn |
| 9 | AppLovin | 103.35 Bn | 93.38 Bn | 1.70 Bn | 429.41 Mn |
| 10 | Inuvo | 8.31 Mn | 8.31 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 10.68 Mn |
| Sep 30, 2025 | 18.24 Mn |
| Jun 30, 2025 | 19.14 Mn |
| Mar 31, 2025 | 22.86 Mn |
| Dec 31, 2024 | 21.54 Mn |
| Sep 30, 2024 | 21.72 Mn |
| Jun 30, 2024 | 17.00 Mn |
| Mar 31, 2024 | 17.02 Mn |
| Dec 31, 2023 | 20.63 Mn |
| Sep 30, 2023 | 23.49 Mn |
| Jun 30, 2023 | 17.62 Mn |
| Mar 31, 2023 | 12.09 Mn |
| Dec 31, 2022 | 15.68 Mn |
| Sep 30, 2022 | 14.06 Mn |
| Jun 30, 2022 | 16.22 Mn |
| Mar 31, 2022 | 12.05 Mn |
| Dec 31, 2021 | 12.31 Mn |
| Sep 30, 2021 | 14.83 Mn |
| Jun 30, 2021 | 12.77 Mn |
| Mar 31, 2021 | 11.77 Mn |
API Access
Inuvo 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=INUV&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "INUV", "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=INUV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();