Ibotta (IBTA) Selling, General & Administrative (2023 - 2026)
Ibotta (IBTA) posted Selling, General & Administrative of $21.79 million for Q2 2026, down 2.1% from $22.26 million a year earlier and down 8.3% from the prior quarter.
Ibotta (IBTA) Selling, General & Administrative (2023 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Selling, General & Administrative at Ibotta was $90.15 million, up 6.6% year-over-year; for FY2025, it came in at $88.24 million, up 6.7% from FY2024.
- Annual Selling, General & Administrative has increased for three consecutive years, with a three-year compound annual growth rate of 21.5% (FY2022 to FY2025).
- In prior years, Ibotta's Selling, General & Administrative was $82.74 million in FY2024 (+60.2%), $51.63 million in FY2023 (+5.0%) and $49.16 million in FY2022.
- The Q2 2026 figure stands as the lowest quarterly Selling, General & Administrative since Q1 2025.
- On a year-over-year basis, Selling, General & Administrative increased in six of the last eight quarters, with growth averaging 23.5%.
- The strongest year-over-year quarter for Selling, General & Administrative in the past five years was Q2 2024, with growth of 125.4%; the weakest was Q2 2025, with a decline of 22.4%.
- According to Business Quant data, Selling, General & Administrative for the three prior quarters was $23.76 million (Q1 2026), $22.13 million (Q4 2025) and $22.47 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,173.87 Bn | 3,931.39 Bn | 73.85 Bn | 6.46 Bn |
| 2 | Meta Platforms | 1,849.67 Bn | 1,552.19 Bn | 49.47 Bn | 5.61 Bn |
| 3 | Netflix | 279.23 Bn | 239.43 Bn | 6.52 Bn | 498.85 Mn |
| 4 | Alibaba Group Holding | 245.86 Bn | 63.73 Bn | 15.11 Bn | -1.87 Bn |
| 5 | Shopify | 196.08 Bn | 173.27 Bn | 1.71 Bn | 136.00 Mn |
| 6 | Uber Technologies | 138.90 Bn | 110.88 Bn | 6.38 Bn | 935.00 Mn |
| 7 | Booking Holdings | 119.48 Bn | 52.53 Bn | - | 217.00 Mn |
| 8 | PDD Holdings | 107.30 Bn | -144.64 Bn | 9.45 Bn | -345.00 Mn |
| 9 | Spotify Technology | 97.33 Bn | 54.56 Bn | 1.86 Bn | 172.03 Mn |
| 10 | Ibotta | 968.94 Mn | 246.26 Mn | 69.72 Mn | 21.79 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 21.79 Mn |
| Mar 31, 2026 | 23.76 Mn |
| Dec 31, 2025 | 22.13 Mn |
| Sep 30, 2025 | 22.47 Mn |
| Jun 30, 2025 | 22.26 Mn |
| Mar 31, 2025 | 21.39 Mn |
| Dec 31, 2024 | 20.25 Mn |
| Sep 30, 2024 | 20.63 Mn |
| Jun 30, 2024 | 28.71 Mn |
| Mar 31, 2024 | 13.15 Mn |
| Dec 31, 2023 | 13.45 Mn |
| Sep 30, 2023 | 12.11 Mn |
| Jun 30, 2023 | 12.74 Mn |
| Mar 31, 2023 | 13.33 Mn |
Ibotta Selling, General & Administrative 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=selling-general-and-administrative&ticker=IBTA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=IBTA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();