KwikClick (KWIK) Operating Expenses (2021 - 2026)
KwikClick (KWIK) reported Operating Expenses of $1.15 million for Q2 2026, up 178.0% from $413,859 a year earlier and up 81.2% from the prior quarter.
KwikClick (KWIK) Operating Expenses (2021 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, KwikClick's Operating Expenses came in at $3.47 million, up 108.6% year-over-year; for FY2025, it came in at $2.49 million, up 29.9% from FY2024.
- Operating Expenses has a five-year compound annual growth rate of 58.9% (FY2020 to FY2025).
- By year, Operating Expenses came in at $1.91 million in FY2024 (-54.4%), $4.19 million in FY2023 (-7.5%), $4.53 million in FY2022 (+78.1%) and $2.55 million in FY2021 (+936.5%).
- Five-year quarterly Operating Expenses spans a low of $296,960 in Q2 2024 and a high of $1.57 million in Q4 2021.
- Year over year, Operating Expenses has now increased in each of the last five quarters, with growth averaging 34.5% over the last eight quarters.
- The high point for year-over-year Operating Expenses in five years was Q2 2026 (growth of 178.0%); the low point was Q3 2024 (a decline of 74.3%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $634,908 (Q1 2026), $1.23 million (Q4 2025) and $461,092 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 3,505.75 Bn | 3,240.65 Bn | 76.16 Bn | 87.00 Bn |
| 2 | Meta Platforms | 1,636.37 Bn | 1,300.89 Bn | 51.23 Bn | 51.61 Bn |
| 3 | Netflix | 264.79 Bn | 226.09 Bn | 6.80 Bn | 1.50 Bn |
| 4 | Alibaba Group Holding | 244.49 Bn | 58.13 Bn | 15.16 Bn | 5.19 Bn |
| 5 | Shopify | 196.00 Bn | 174.81 Bn | 1.78 Bn | 1.21 Bn |
| 6 | Uber Technologies | 145.16 Bn | 115.98 Bn | 6.42 Bn | 13.32 Bn |
| 7 | AppLovin | 136.87 Bn | 125.40 Bn | 1.94 Bn | 475.85 Mn |
| 8 | Spotify Technology | 125.04 Bn | 81.96 Bn | 1.89 Bn | 645.39 Mn |
| 9 | Booking Holdings | 122.68 Bn | 56.42 Bn | - | 5.48 Bn |
| 10 | KwikClick | 2.92 Mn | 2.30 Mn | 773,575.00 | 1.15 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.15 Mn |
| Mar 31, 2026 | 634,908.00 |
| Dec 31, 2025 | 1.23 Mn |
| Sep 30, 2025 | 461,092.00 |
| Jun 30, 2025 | 413,859.00 |
| Mar 31, 2025 | 384,493.00 |
| Dec 31, 2024 | 529,268.00 |
| Sep 30, 2024 | 338,267.00 |
| Jun 30, 2024 | 296,960.00 |
| Mar 31, 2024 | 750,056.00 |
| Dec 31, 2023 | 1.10 Mn |
| Sep 30, 2023 | 1.32 Mn |
| Jun 30, 2023 | 832,124.00 |
| Mar 31, 2023 | 942,404.00 |
| Dec 31, 2022 | 790,040.00 |
| Sep 30, 2022 | 1.00 Mn |
| Jun 30, 2022 | 1.57 Mn |
| Mar 31, 2022 | 1.18 Mn |
| Dec 31, 2021 | 1.57 Mn |
| Sep 30, 2021 | 395,561.00 |
KwikClick 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=KWIK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "KWIK", "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=KWIK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();