TaskUs (TASK) Selling, General & Administrative (2020 - 2026)
TaskUs (TASK) reported Selling, General & Administrative of $54.64 million for Q2 2026, down 20.1% from $68.41 million a year earlier and down 6.3% from the prior quarter.
TaskUs (TASK) Selling, General & Administrative (2020 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, TaskUs' Selling, General & Administrative came in at $231.98 million, down 9.5% year-over-year; for FY2025, it was $244.89 million, up 2.2% from FY2024.
- Selling, General & Administrative has a five-year compound annual growth rate of 16.6% (FY2020 to FY2025).
- By year, Selling, General & Administrative came in at $239.59 million in FY2024 (+4.8%), $228.52 million in FY2023 (-12.1%), $260 million in FY2022 (-22.5%) and $335.31 million in FY2021 (+195.4%).
- The Q2 2026 figure ranks as the lowest quarterly Selling, General & Administrative since Q1 2024.
- Year over year, Selling, General & Administrative gained in five of the last eight quarters, with growth averaging 5.3%.
- The high point for year-over-year Selling, General & Administrative in five years was Q4 2021 (growth of 119.7%); the low point was Q2 2022 (a decline of 61.2%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $58.28 million (Q1 2026), $59.36 million (Q4 2025) and $59.7 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 159.50 Bn | 117.43 Bn | 5.98 Bn | 1.31 Bn |
| 2 | Cintas | 88.97 Bn | 88.05 Bn | 1.55 Bn | 827.24 Mn |
| 3 | Iron Mountain | 31.77 Bn | 30.97 Bn | 1.06 Bn | 348.77 Mn |
| 4 | Rollins | 18.19 Bn | 17.73 Bn | 582.90 Mn | 326.77 Mn |
| 5 | APi | 17.61 Bn | 14.83 Bn | 770.00 Mn | 568.00 Mn |
| 6 | UL Solutions | 15.91 Bn | 13.91 Bn | 423.00 Mn | 260.00 Mn |
| 7 | Aramark | 13.83 Bn | 11.78 Bn | 430.34 Mn | 78.63 Mn |
| 8 | Gartner | 12.12 Bn | 5.61 Bn | 1.07 Bn | 746.84 Mn |
| 9 | Rentokil Initial | 11.93 Bn | 5.45 Bn | - | - |
| 10 | TaskUs | 832.65 Mn | 98.72 Mn | 108.86 Mn | 54.85 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 54.85 Mn |
| Jun 30, 2026 | 54.64 Mn |
| Mar 31, 2026 | 58.28 Mn |
| Dec 31, 2025 | 59.36 Mn |
| Sep 30, 2025 | 59.70 Mn |
| Jun 30, 2025 | 68.41 Mn |
| Mar 31, 2025 | 57.42 Mn |
| Dec 31, 2024 | 67.76 Mn |
| Sep 30, 2024 | 62.65 Mn |
| Jun 30, 2024 | 56.28 Mn |
| Mar 31, 2024 | 52.90 Mn |
| Dec 31, 2023 | 48.94 Mn |
| Sep 30, 2023 | 57.11 Mn |
| Jun 30, 2023 | 58.18 Mn |
| Mar 31, 2023 | 64.29 Mn |
| Dec 31, 2022 | 64.49 Mn |
| Sep 30, 2022 | 62.35 Mn |
| Jun 30, 2022 | 68.92 Mn |
| Mar 31, 2022 | 64.25 Mn |
| Dec 31, 2021 | 65.66 Mn |
TaskUs Selling, General & Administrative 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=selling-general-and-administrative&ticker=TASK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "ticker": "TASK", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=selling-general-and-administrative&ticker=TASK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();