Ziprecruiter (ZIP) Operating Expenses (2020 - 2026)
Ziprecruiter (ZIP) posted Operating Expenses of $101.33 million for Q2 2026, down 5.2% from $106.93 million a year earlier but up 4.3% from the prior quarter.
Ziprecruiter (ZIP) Operating Expenses (2020 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Ziprecruiter was $401.48 million, down 6.3% year-over-year; for FY2025, it came in at $420.04 million, down 0.6% from FY2024.
- Annual Operating Expenses has declined for three consecutive years, though with a five-year compound annual growth rate of 7.0% (FY2020 to FY2025).
- In prior years, Ziprecruiter's Operating Expenses was $422.59 million in FY2024 (-15.8%), $501.98 million in FY2023 (-30.4%), $721.12 million in FY2022 (+7.6%) and $669.92 million in FY2021 (+123.6%).
- Quarterly Operating Expenses has run from a low of $95.53 million in Q4 2025 to a high of $193.09 million in Q2 2022 over five years.
- On a year-over-year basis, Operating Expenses has declined in each of the last four quarters, with an average decline of 3.1% over the last eight quarters.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q3 2021, with growth of 158.1%; the weakest was Q3 2023, with a decline of 38.3%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $97.12 million (Q1 2026), $95.53 million (Q4 2025) and $107.49 million (Q3 2025).
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 | Ziprecruiter | 435.24 Mn | -952.16 Mn | 105.47 Mn | 101.33 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 101.33 Mn |
| Mar 31, 2026 | 97.12 Mn |
| Dec 31, 2025 | 95.53 Mn |
| Sep 30, 2025 | 107.49 Mn |
| Jun 30, 2025 | 106.93 Mn |
| Mar 31, 2025 | 110.08 Mn |
| Dec 31, 2024 | 103.53 Mn |
| Sep 30, 2024 | 107.94 Mn |
| Jun 30, 2024 | 101.29 Mn |
| Mar 31, 2024 | 109.82 Mn |
| Dec 31, 2023 | 109.16 Mn |
| Sep 30, 2023 | 108.43 Mn |
| Jun 30, 2023 | 132.22 Mn |
| Mar 31, 2023 | 152.17 Mn |
| Dec 31, 2022 | 160.95 Mn |
| Sep 30, 2022 | 175.66 Mn |
| Jun 30, 2022 | 193.09 Mn |
| Mar 31, 2022 | 191.43 Mn |
| Dec 31, 2021 | 174.87 Mn |
| Sep 30, 2021 | 172.43 Mn |
Ziprecruiter 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=ZIP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "ZIP", "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=ZIP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();