Auddia (AUUD) Change in Accured Expenses (2020 - 2026)
Auddia (AUUD) posted Change in Accured Expenses of $216,264 for Q2 2026, up 59.6% from $135,544 a year earlier.
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Analysis
Auddia (AUUD) Change in Accured Expenses (2020 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Change in Accured Expenses at Auddia was $338,263, up 151.7% year-over-year; for FY2025, it was $345,691, up 72.9% from FY2024.
- Annual Change in Accured Expenses shows a five-year compound annual growth rate of -12.1% (FY2020 to FY2025).
- In prior years, Auddia's Change in Accured Expenses was $199,882 in FY2024 (-64.6%), $565,292 in FY2023, $12,220 in FY2022 and -$955,516 in FY2021.
- Quarterly Change in Accured Expenses has run from a low of -$251,191 in Q1 2026 to a high of $324,023 in Q4 2023 over five years.
- On a year-over-year basis, Change in Accured Expenses increased in four of the last five quarters, with growth averaging 66.6%.
- The strongest year-over-year quarter for Change in Accured Expenses in the past five years was Q4 2025, with growth of 309.9%; the weakest was Q4 2024, with a decline of 80.4%.
- According to Business Quant data, Change in Accured Expenses for the three prior quarters was -$251,191 (Q1 2026), $259,994 (Q4 2025) and $113,196 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,173.87 Bn | 3,931.39 Bn | 73.85 Bn | 6.31 Bn |
| 2 | Meta Platforms | 1,849.67 Bn | 1,552.19 Bn | 49.47 Bn | 5.93 Bn |
| 3 | Netflix | 279.23 Bn | 239.43 Bn | 6.52 Bn | -1.25 Bn |
| 4 | Alibaba Group Holding | 245.86 Bn | 63.73 Bn | 15.11 Bn | - |
| 5 | Shopify | 196.08 Bn | 173.27 Bn | 1.71 Bn | - |
| 6 | Uber Technologies | 138.90 Bn | 110.88 Bn | 6.38 Bn | 447.00 Mn |
| 7 | Booking Holdings | 119.48 Bn | 52.53 Bn | - | 2.38 Bn |
| 8 | PDD Holdings | 107.30 Bn | -144.64 Bn | 9.45 Bn | - |
| 9 | Spotify Technology | 97.33 Bn | 54.56 Bn | 1.86 Bn | - |
| 10 | Auddia | 5.06 Mn | -11.83 Mn | - | 216,264.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 216,264.00 |
| Mar 31, 2026 | -251,191.00 |
| Dec 31, 2025 | 259,994.00 |
| Sep 30, 2025 | 113,196.00 |
| Jun 30, 2025 | 135,544.00 |
| Mar 31, 2025 | -163,043.00 |
| Dec 31, 2024 | 63,435.00 |
| Sep 30, 2024 | 98,461.00 |
| Jun 30, 2024 | -161,679.00 |
| Mar 31, 2024 | 199,665.00 |
| Dec 31, 2023 | 324,023.00 |
| Sep 30, 2023 | 76,439.00 |
| Jun 30, 2023 | 23,012.00 |
| Mar 31, 2023 | 141,818.00 |
| Dec 31, 2022 | -80,183.00 |
| Sep 30, 2022 | 36,290.00 |
| Jun 30, 2022 | 49,781.00 |
| Mar 31, 2022 | 6,332.00 |
| Dec 31, 2021 | -134,520.00 |
| Sep 30, 2021 | -41,299.00 |
API Access
Auddia Change in Accured 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=change-in-accured-expenses&ticker=AUUD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=AUUD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();