Ww International (WW) Operating Expenses (2009 - 2025)
Ww International (WW) reported Operating Expenses of $14.21 million for Q4 2025, down 59.7% from $35.21 million a year earlier and down 77.4% from the prior quarter.
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Analysis
Ww International (WW) Operating Expenses (2009 - 2025) Analysis & Trends
For FY2025, Ww International posted Operating Expenses of $115.66 million, down 34.2% from FY2024.
- Operating Expenses has a four-year compound annual growth rate of -6.7% (FY2021 to FY2025).
- By year, Operating Expenses came in at $175.67 million in FY2024 (-19.3%), $217.56 million in FY2023 (+47.7%), $147.28 million in FY2022 (-3.5%) and $152.6 million in FY2021.
- The Q4 2025 figure ranks as the lowest quarterly Operating Expenses since Q1 2017.
- Year over year, Operating Expenses gained in three of the last eight quarters, with an average decline of 13.2%.
- The high point for year-over-year Operating Expenses in five years was Q4 2022 (growth of 78.0%); the low point was Q4 2025 (a decline of 59.7%).
- Per Business Quant data, the three quarters before Q4 2025 came in at $62.98 million (Q3 2025), $42.85 million (Q2 2025) and $35.63 million (Q1 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Service Corp International | 10.53 Bn | 9.53 Bn | 273.50 Mn | 41.78 Mn |
| 2 | New Oriental Education & Technology | 8.65 Bn | -6.12 Bn | 812.22 Mn | 1.44 Bn |
| 3 | Laureate Education | 5.18 Bn | 4.48 Bn | 237.67 Mn | 14.24 Mn |
| 4 | Graham Holdings | 4.87 Bn | -1.39 Mn | 392.03 Mn | 1.22 Bn |
| 5 | Covista | 4.00 Bn | 3.13 Bn | 284.63 Mn | 405.94 Mn |
| 6 | Valvoline | 3.64 Bn | 3.34 Bn | 214.90 Mn | 103.10 Mn |
| 7 | Stride | 3.18 Bn | 77.07 Mn | 217.28 Mn | 111.43 Mn |
| 8 | Bright Horizons Family Solutions | 3.14 Bn | 2.58 Bn | 188.96 Mn | 108.00 Mn |
| 9 | Onespaworld Holdings | 2.31 Bn | 2.21 Bn | 44.57 Mn | 236.74 Mn |
| 10 | Ww International | 150.25 Mn | -557.11 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 62.98 Mn |
| Jun 24, 2025 | 42.85 Mn |
| Mar 29, 2025 | 35.63 Mn |
| Dec 28, 2024 | 35.21 Mn |
| Sep 28, 2024 | 57.05 Mn |
| Jun 29, 2024 | 36.93 Mn |
| Mar 30, 2024 | 58.98 Mn |
| Dec 30, 2023 | 28.92 Mn |
| Sep 30, 2023 | 63.03 Mn |
| Jul 1, 2023 | 65.74 Mn |
| Apr 1, 2023 | 59.86 Mn |
| Dec 31, 2022 | 26.68 Mn |
| Oct 1, 2022 | 58.44 Mn |
| Jul 2, 2022 | 71.32 Mn |
| Apr 2, 2022 | 63.56 Mn |
| Jan 1, 2022 | 14.99 Mn |
| Oct 2, 2021 | 35.95 Mn |
| Jul 3, 2021 | 39.20 Mn |
| Apr 3, 2021 | 45.45 Mn |
| Sep 26, 2020 | 30.10 Mn |
API Access
Ww International 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=WW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "WW", "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=WW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();