Ibotta (IBTA) Accumulated Expenses (2023 - 2026)
Ibotta's Accumulated Expenses was $19.34 million in Q2 2026, up 8.5% from $17.83 million a year earlier but down 2.1% from the prior quarter.
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Analysis
Ibotta (IBTA) Accumulated Expenses (2023 - 2026) Analysis & Trends
At the end of FY2025, Accumulated Expenses at Ibotta came in at $19.61 million, up 9.2% from FY2024.
- In earlier years, Accumulated Expenses was $17.97 million in FY2024 (-26.9%) and $24.58 million in FY2023.
- Quarterly Accumulated Expenses has moved between $15.13 million (Q1 2025) and $24.58 million (Q4 2023) over five years.
- Compared with a year earlier, Accumulated Expenses has increased for three straight quarters, with growth averaging 2.2% over the last seven quarters.
- Per Business Quant data, IBTA's Accumulated Expenses in the three quarters before Q2 2026 was $19.75 million (Q1 2026), $19.61 million (Q4 2025) and $16.72 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Alphabet | 4,180.92 Bn | 3,938.44 Bn | 73.85 Bn |
| 2 | Meta Platforms | 1,847.76 Bn | 1,550.28 Bn | 49.47 Bn |
| 3 | Netflix | 289.73 Bn | 249.92 Bn | 6.52 Bn |
| 4 | Alibaba Group Holding | 249.81 Bn | 67.68 Bn | 15.11 Bn |
| 5 | Shopify | 192.08 Bn | 169.26 Bn | 1.71 Bn |
| 6 | Uber Technologies | 139.76 Bn | 111.74 Bn | 6.38 Bn |
| 7 | Booking Holdings | 122.41 Bn | 55.46 Bn | - |
| 8 | PDD Holdings | 110.94 Bn | -140.99 Bn | 9.45 Bn |
| 9 | Spotify Technology | 100.32 Bn | 57.56 Bn | 1.86 Bn |
| 10 | Ibotta | 916.33 Mn | 193.65 Mn | 69.72 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 19.34 Mn |
| Mar 31, 2026 | 19.75 Mn |
| Dec 31, 2025 | 19.61 Mn |
| Sep 30, 2025 | 16.72 Mn |
| Jun 30, 2025 | 17.83 Mn |
| Mar 31, 2025 | 15.13 Mn |
| Dec 31, 2024 | 17.97 Mn |
| Sep 30, 2024 | 18.50 Mn |
| Jun 30, 2024 | 16.92 Mn |
| Mar 31, 2024 | 15.40 Mn |
| Dec 31, 2023 | 24.58 Mn |
API Access
Ibotta Accumulated 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=accumulated-expenses&ticker=IBTA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "IBTA", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=accumulated-expenses&ticker=IBTA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();