Giftify (GIFT) Operating Expenses (2021 - 2026)
Giftify's Operating Expenses was $5.66 million in Q2 2026, down 12.1% from $6.43 million a year earlier and down 18.2% from the prior quarter.
Giftify (GIFT) Operating Expenses (2021 - 2026) Analysis & Trends
On a trailing twelve-month basis, Giftify's Operating Expenses was $25.24 million through Jun 30, 2026, down 9.1% year-over-year; for FY2025, it came in at $25.85 million, down 18.0% from FY2024.
- Operating Expenses shows a four-year compound annual growth rate of 30.8% (FY2021 to FY2025).
- In earlier years, Operating Expenses was $31.52 million in FY2024 (+133.1%), $13.52 million in FY2023 (+100.9%), $6.73 million in FY2022 (-23.8%) and $8.83 million in FY2021.
- The Q2 2026 figure marks the lowest quarterly Operating Expenses since Q3 2023.
- Compared with a year earlier, Operating Expenses was higher in three of the last seven quarters, with growth averaging 9.1%.
- The best year-over-year quarter for Operating Expenses over five years was Q2 2024 (growth of 242.8%); the worst was Q2 2025 (a decline of 40.1%).
- Per Business Quant data, GIFT's Operating Expenses in the three quarters before Q2 2026 was $6.91 million (Q1 2026), $6.43 million (Q4 2025) and $6.24 million (Q3 2025).
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 | Giftify | 21.06 Mn | 5.28 Mn | 4.40 Mn | 5.66 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.66 Mn |
| Mar 31, 2026 | 6.91 Mn |
| Dec 31, 2025 | 6.43 Mn |
| Sep 30, 2025 | 6.24 Mn |
| Jun 30, 2025 | 6.43 Mn |
| Mar 31, 2025 | 6.75 Mn |
| Dec 31, 2024 | 7.81 Mn |
| Sep 30, 2024 | 6.77 Mn |
| Jun 30, 2024 | 10.74 Mn |
| Mar 31, 2024 | 6.20 Mn |
| Sep 30, 2023 | 2.94 Mn |
| Jun 30, 2023 | 3.13 Mn |
| Mar 31, 2023 | 3.19 Mn |
| Dec 31, 2022 | 1.78 Mn |
| Sep 30, 2022 | 1.39 Mn |
| Jun 30, 2022 | 2.00 Mn |
| Mar 31, 2022 | 1.56 Mn |
| Dec 31, 2021 | 1.69 Mn |
| Sep 30, 2021 | 1.53 Mn |
| Jun 30, 2021 | 3.05 Mn |
Giftify 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=GIFT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "GIFT", "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=GIFT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();