Thryv Holdings (THRY) Operating Expenses (2012 - 2026)
Thryv Holdings (THRY) reported Operating Expenses of $95.7 million for Q2 2026, down 18.3% from $117.08 million a year earlier and down 9.0% from the prior quarter.
Thryv Holdings (THRY) Operating Expenses (2012 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Thryv Holdings' Operating Expenses came in at $437.5 million, down 23.3% year-over-year; for FY2025, it was $476 million, down 16.6% from FY2024.
- Operating Expenses has a five-year compound annual growth rate of -1.7% (FY2020 to FY2025).
- By year, Operating Expenses came in at $570.54 million in FY2024 (-26.7%), $778.26 million in FY2023 (+14.3%), $681.06 million in FY2022 (+32.2%) and $515.33 million in FY2021 (-0.5%).
- The Q2 2026 figure ranks as the lowest quarterly Operating Expenses since Q4 2019.
- Year over year, Operating Expenses has now declined in each of the last seven quarters, with an average decline of 10.8% over the last eight quarters.
- The high point for year-over-year Operating Expenses in five years was Q4 2022 (growth of 68.2%); the low point was Q4 2024 (a decline of 67.6%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $105.2 million (Q1 2026), $120.17 million (Q4 2025) and $116.43 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn | 726.59 Mn |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - | 12.62 Bn |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn | -8.41 Bn |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 Bn | 6.37 Bn |
| 5 | ServiceNow | 135.91 Bn | 114.37 Bn | 2.82 Bn | 2.66 Bn |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn | 4.34 Bn |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn | 3.88 Bn |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - | - |
| 9 | Strategy | 55.31 Bn | 48.30 Bn | 81.55 Mn | 8.41 Bn |
| 10 | Thryv Holdings | 71.51 Mn | 32.12 Mn | 94.56 Mn | 95.70 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 95.70 Mn |
| Mar 31, 2026 | 105.20 Mn |
| Dec 31, 2025 | 120.17 Mn |
| Sep 30, 2025 | 116.43 Mn |
| Jun 30, 2025 | 117.08 Mn |
| Mar 31, 2025 | 122.32 Mn |
| Dec 31, 2024 | 130.23 Mn |
| Sep 30, 2024 | 200.55 Mn |
| Jun 30, 2024 | 117.25 Mn |
| Mar 31, 2024 | 122.51 Mn |
| Dec 31, 2023 | 401.84 Mn |
| Sep 30, 2023 | 123.02 Mn |
| Jun 30, 2023 | 129.38 Mn |
| Mar 31, 2023 | 124.02 Mn |
| Dec 31, 2022 | 245.67 Mn |
| Sep 30, 2022 | 144.56 Mn |
| Jun 30, 2022 | 144.69 Mn |
| Mar 31, 2022 | 146.15 Mn |
| Dec 31, 2021 | 146.08 Mn |
| Sep 30, 2021 | 127.33 Mn |
Thryv Holdings 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=THRY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "THRY", "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=THRY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();