Taboola.com (TBLA) Operating Expenses (2022 - 2026)
Taboola.com (TBLA) reported Operating Expenses of $132.22 million for Q2 2026, down 2.5% from $135.57 million a year earlier but up 119.7% from the prior quarter.
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Analysis
Taboola.com (TBLA) Operating Expenses (2022 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Taboola.com's Operating Expenses came in at $456.73 million, down 12.1% year-over-year; for FY2025, it came in at $525.45 million, up 3.4% from FY2024.
- Operating Expenses has increased for six consecutive years, with a five-year compound annual growth rate of 12.4% (FY2020 to FY2025).
- By year, Operating Expenses came in at $508.3 million in FY2024 (+3.9%), $489.3 million in FY2023 (+2.4%), $477.92 million in FY2022 (+5.2%) and $454.34 million in FY2021 (+54.9%).
- Five-year quarterly Operating Expenses spans a low of $60.19 million in Q1 2026 and a high of $135.57 million in Q2 2025.
- Year over year, Operating Expenses gained in three of the last six quarters, with an average decline of 6.8%.
- The high point for year-over-year Operating Expenses in five years was Q2 2025 (growth of 10.7%); the low point was Q1 2026 (a decline of 52.1%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $60.19 million (Q1 2026), $131.8 million (Q4 2025) and $132.51 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 3,555.16 Bn | 3,290.06 Bn | 76.16 Bn | 87.00 Bn |
| 2 | Meta Platforms | 1,645.02 Bn | 1,309.54 Bn | 51.23 Bn | 51.61 Bn |
| 3 | Netflix | 259.98 Bn | 221.27 Bn | 6.80 Bn | 1.50 Bn |
| 4 | Alibaba Group Holding | 242.36 Bn | 241.21 Bn | - | - |
| 5 | Shopify | 192.37 Bn | 171.18 Bn | 1.78 Bn | 1.21 Bn |
| 6 | Uber Technologies | 142.90 Bn | 113.72 Bn | 6.42 Bn | 13.32 Bn |
| 7 | AppLovin | 130.75 Bn | 119.27 Bn | 1.94 Bn | 475.85 Mn |
| 8 | Spotify Technology | 122.74 Bn | 105.49 Bn | - | - |
| 9 | Booking Holdings | 122.04 Bn | 55.79 Bn | - | 5.48 Bn |
| 10 | Taboola.com | 573.92 Mn | 40.85 Mn | 152.34 Mn | 125.43 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 125.43 Mn |
| Jun 30, 2026 | 132.22 Mn |
| Mar 31, 2026 | 60.19 Mn |
| Dec 31, 2025 | 131.80 Mn |
| Sep 30, 2025 | 132.51 Mn |
| Jun 30, 2025 | 135.57 Mn |
| Mar 31, 2025 | 125.57 Mn |
| Dec 31, 2024 | 130.39 Mn |
| Sep 30, 2024 | 128.32 Mn |
| Jun 30, 2024 | 122.41 Mn |
| Mar 31, 2024 | 127.19 Mn |
| Mar 31, 2023 | 118.39 Mn |
| Mar 31, 2022 | 119.73 Mn |
API Access
Taboola.com 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=TBLA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "TBLA", "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=TBLA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();