Ibotta (IBTA) Other Operating Expenses (2023 - 2026)
Ibotta (IBTA) posted Other Operating Expenses of $28.87 million for Q3 2026, up 22.8% from $23.51 million a year earlier and up 0.4% from the prior quarter.
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Analysis
Ibotta (IBTA) Other Operating Expenses (2023 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Other Operating Expenses at Ibotta was $115.72 million, up 1.6% year-over-year; for FY2025, it was $108.96 million, down 28.5% from FY2024.
- Annual Other Operating Expenses shows a three-year compound annual growth rate of 0.8% (FY2022 to FY2025).
- In prior years, Ibotta's Other Operating Expenses was $152.36 million in FY2024 (+26.2%), $120.76 million in FY2023 (+13.4%) and $106.45 million in FY2022.
- Quarterly Other Operating Expenses has run from a low of $22.05 million in Q1 2023 to a high of $55.26 million in Q2 2024 over five years.
- On a year-over-year basis, Other Operating Expenses increased in two of the last eight quarters, with an average decline of 8.6%.
- The strongest year-over-year quarter for Other Operating Expenses in the past five years was Q2 2024, with growth of 123.0%; the weakest was Q2 2025, with a decline of 53.6%.
- According to Business Quant data, Other Operating Expenses for the three prior quarters was $28.77 million (Q2 2026), $29.1 million (Q1 2026) and $28.99 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Alphabet | 3,462.85 Bn | 3,197.75 Bn | 76.16 Bn |
| 2 | Meta Platforms | 1,559.43 Bn | 1,223.94 Bn | 51.23 Bn |
| 3 | Netflix | 262.12 Bn | 223.42 Bn | 6.80 Bn |
| 4 | Alibaba Group Holding | 253.57 Bn | 67.20 Bn | 15.16 Bn |
| 5 | Shopify | 191.77 Bn | 170.57 Bn | 1.78 Bn |
| 6 | Uber Technologies | 139.89 Bn | 110.71 Bn | 6.42 Bn |
| 7 | AppLovin | 130.31 Bn | 118.84 Bn | 1.94 Bn |
| 8 | Spotify Technology | 123.80 Bn | 80.72 Bn | 1.89 Bn |
| 9 | Booking Holdings | 120.61 Bn | 54.35 Bn | - |
| 10 | Ibotta | 1.36 Bn | 712.45 Mn | 78.12 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 32.37 Mn |
| Jun 30, 2026 | 32.88 Mn |
| Mar 31, 2026 | 34.05 Mn |
| Dec 31, 2025 | 33.64 Mn |
| Sep 30, 2025 | 26.63 Mn |
| Jun 30, 2025 | 28.81 Mn |
| Mar 31, 2025 | 29.86 Mn |
| Dec 31, 2024 | 33.31 Mn |
| Sep 30, 2024 | 27.76 Mn |
| Jun 30, 2024 | 50.02 Mn |
| Mar 31, 2024 | 28.13 Mn |
| Dec 31, 2023 | 33.31 Mn |
| Sep 30, 2023 | 37.64 Mn |
| Jun 30, 2023 | 22.21 Mn |
| Mar 31, 2023 | 21.60 Mn |
API Access
Ibotta Other 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=other-operating-expenses&ticker=IBTA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-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=other-operating-expenses&ticker=IBTA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();