Kforce (KFRC) Operating Expenses (2010 - 2026)
Kforce (KFRC) posted Operating Expenses of $79.41 million for Q2 2026, up 6.8% from $74.37 million a year earlier and up 3.4% from the prior quarter.
Kforce (KFRC) Operating Expenses (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Kforce was $312.38 million, up 2.9% year-over-year; for FY2025, it came in at $308.35 million, down 1.5% from FY2024.
- Annual Operating Expenses has declined for three consecutive years, with a five-year compound annual growth rate of -0.4% (FY2020 to FY2025).
- In prior years, Kforce's Operating Expenses was $313 million in FY2024 (-7.4%), $338.03 million in FY2023 (-11.6%), $382.52 million in FY2022 (+9.8%) and $348.52 million in FY2021 (+10.7%).
- Quarterly Operating Expenses has run from a low of $74.37 million in Q2 2025 to a high of $96.15 million in Q2 2022 over five years.
- On a year-over-year basis, Operating Expenses has increased in each of the last three quarters, with an average decline of 0.8% over the last eight quarters.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q4 2021, with growth of 25.3%; the weakest was Q4 2023, with a decline of 19.0%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $76.76 million (Q1 2026), $80.33 million (Q4 2025) and $75.88 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 116.45 Bn | 76.86 Bn | 6.13 Bn | 15.54 Bn |
| 2 | Cintas | 80.26 Bn | 79.45 Bn | 1.48 Bn | 792.12 Mn |
| 3 | Iron Mountain | 33.05 Bn | 32.57 Bn | 1.07 Bn | 1.66 Bn |
| 4 | APi | 16.57 Bn | 13.61 Bn | 703.00 Mn | 528.00 Mn |
| 5 | Rollins | 14.72 Bn | 14.26 Bn | 569.95 Mn | 877.22 Mn |
| 6 | Aramark | 14.30 Bn | 12.32 Bn | 430.34 Mn | 4.84 Bn |
| 7 | UL Solutions | 13.09 Bn | 11.87 Bn | 417.00 Mn | 267.00 Mn |
| 8 | Gartner | 11.73 Bn | 5.42 Bn | 1.19 Bn | 1.30 Bn |
| 9 | Rentokil Initial | 10.36 Bn | 3.71 Bn | - | - |
| 10 | Kforce | 920.16 Mn | 915.10 Mn | 99.45 Mn | 79.41 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 79.41 Mn |
| Mar 31, 2026 | 76.76 Mn |
| Dec 31, 2025 | 80.33 Mn |
| Sep 30, 2025 | 75.88 Mn |
| Jun 30, 2025 | 74.37 Mn |
| Mar 31, 2025 | 75.17 Mn |
| Dec 31, 2024 | 75.59 Mn |
| Sep 30, 2024 | 78.31 Mn |
| Jun 30, 2024 | 77.72 Mn |
| Mar 31, 2024 | 78.19 Mn |
| Dec 31, 2023 | 76.38 Mn |
| Sep 30, 2023 | 86.23 Mn |
| Jun 30, 2023 | 82.99 Mn |
| Mar 31, 2023 | 89.34 Mn |
| Dec 31, 2022 | 94.31 Mn |
| Sep 30, 2022 | 94.31 Mn |
| Jun 30, 2022 | 96.15 Mn |
| Mar 31, 2022 | 95.05 Mn |
| Dec 31, 2021 | 94.10 Mn |
| Sep 30, 2021 | 88.97 Mn |
Kforce 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=KFRC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "KFRC", "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=KFRC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();