Auddia (AUUD) Operating Expenses (2020 - 2026)
Auddia's Operating Expenses was $3.03 million in Q2 2026, up 93.4% from $1.57 million a year earlier and up 32.5% from the prior quarter.
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Analysis
Auddia (AUUD) Operating Expenses (2020 - 2026) Analysis & Trends
On a trailing twelve-month basis, Auddia's Operating Expenses was $9.7 million through Jun 30, 2026, up 28.9% year-over-year; for FY2025, it came in at $7.7 million, down 2.8% from FY2024.
- Operating Expenses shows a five-year compound annual growth rate of 25.3% (FY2020 to FY2025).
- In earlier years, Operating Expenses was $7.92 million in FY2024 (+5.9%), $7.48 million in FY2023 (+11.2%), $6.72 million in FY2022 (+20.7%) and $5.57 million in FY2021 (+123.3%).
- The Q2 2026 figure marks the highest quarterly Operating Expenses in data going back to Q1 2020.
- Compared with a year earlier, Operating Expenses was higher in five of the last eight quarters, with growth averaging 16.7%.
- The best year-over-year quarter for Operating Expenses over five years was Q4 2021 (growth of 481.7%); the worst was Q3 2022 (a decline of 35.3%).
- Per Business Quant data, AUUD's Operating Expenses in the three quarters before Q2 2026 was $2.29 million (Q1 2026), $2 million (Q4 2025) and $2.38 million (Q3 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 | Auddia | 5.06 Mn | -11.83 Mn | - | 3.03 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.03 Mn |
| Mar 31, 2026 | 2.29 Mn |
| Dec 31, 2025 | 2.00 Mn |
| Sep 30, 2025 | 2.38 Mn |
| Jun 30, 2025 | 1.57 Mn |
| Mar 31, 2025 | 1.75 Mn |
| Dec 31, 2024 | 2.26 Mn |
| Sep 30, 2024 | 1.95 Mn |
| Jun 30, 2024 | 1.65 Mn |
| Mar 31, 2024 | 2.05 Mn |
| Dec 31, 2023 | 2.02 Mn |
| Sep 30, 2023 | 1.83 Mn |
| Jun 30, 2023 | 1.78 Mn |
| Mar 31, 2023 | 1.85 Mn |
| Dec 31, 2022 | 1.60 Mn |
| Sep 30, 2022 | 1.33 Mn |
| Jun 30, 2022 | 2.05 Mn |
| Mar 31, 2022 | 1.75 Mn |
| Dec 31, 2021 | 1.65 Mn |
| Sep 30, 2021 | 2.05 Mn |
API Access
Auddia 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=AUUD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "AUUD", "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=AUUD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();