Kingsway (KWY) Operating Expenses (2011 - 2026)
Kingsway (KWY) recorded Operating Expenses of $17.24 million in Q2 2026, down 46.2% from $32.05 million a year earlier but up 2.3% from the prior quarter.
Kingsway (KWY) Operating Expenses (2011 - 2026) Analysis & Trends
On a TTM basis, Kingsway's Operating Expenses came in at $110.37 million as of Jun 30, 2026, down 5.5% year-over-year; for FY2025, it came in at $137.39 million, up 28.1% from FY2024.
- Annual Operating Expenses has increased for eight straight years, with a five-year compound annual growth rate of 15.7% (FY2020 to FY2025).
- Across earlier years, Operating Expenses came in at $107.22 million in FY2024 (+4.8%), $102.29 million in FY2023 (+5.6%), $96.85 million in FY2022 (+22.8%) and $78.88 million in FY2021 (+19.2%).
- Quarterly Operating Expenses has ranged from $15.38 million in Q4 2021 to $38.25 million in Q4 2025 over the past five years.
- On a year-over-year basis, Operating Expenses rose in six of the last eight quarters, with growth averaging 5.1%.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 61.8% in Q4 2022, against a decline of 46.2% in Q2 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at $16.85 million (Q1 2026), $38.25 million (Q4 2025) and $38.04 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 152.96 Bn | 112.24 Bn | 6.13 Bn | 15.54 Bn |
| 2 | Cintas | 89.66 Bn | 88.74 Bn | 1.55 Bn | 841.66 Mn |
| 3 | Iron Mountain | 32.30 Bn | 31.49 Bn | 1.07 Bn | 1.66 Bn |
| 4 | APi | 17.04 Bn | 14.08 Bn | 703.00 Mn | 528.00 Mn |
| 5 | Rollins | 16.84 Bn | 16.39 Bn | 569.95 Mn | 877.22 Mn |
| 6 | Gartner | 15.17 Bn | 8.86 Bn | 1.19 Bn | 1.30 Bn |
| 7 | UL Solutions | 15.09 Bn | 13.85 Bn | 417.00 Mn | 267.00 Mn |
| 8 | Aramark | 13.82 Bn | 11.76 Bn | 430.34 Mn | 4.84 Bn |
| 9 | Rentokil Initial | 11.56 Bn | 5.07 Bn | - | - |
| 10 | Kingsway | 279.59 Mn | 223.58 Mn | 17.12 Mn | 17.24 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 17.24 Mn |
| Mar 31, 2026 | 16.85 Mn |
| Dec 31, 2025 | 38.25 Mn |
| Sep 30, 2025 | 38.04 Mn |
| Jun 30, 2025 | 32.05 Mn |
| Mar 31, 2025 | 29.06 Mn |
| Dec 31, 2024 | 27.85 Mn |
| Sep 30, 2024 | 27.81 Mn |
| Jun 30, 2024 | 26.32 Mn |
| Mar 31, 2024 | 25.39 Mn |
| Dec 31, 2023 | 25.99 Mn |
| Sep 30, 2023 | 25.00 Mn |
| Jun 30, 2023 | 25.80 Mn |
| Mar 31, 2023 | 25.88 Mn |
| Dec 31, 2022 | 24.89 Mn |
| Sep 30, 2022 | 26.69 Mn |
| Jun 30, 2022 | 22.06 Mn |
| Mar 31, 2022 | 23.21 Mn |
| Dec 31, 2021 | 15.38 Mn |
| Sep 30, 2021 | 21.08 Mn |
Kingsway 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=KWY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "KWY", "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=KWY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();