Crawford (CRD-A) Operating Expenses (2009 - 2026)
Crawford (CRD-A) recorded Operating Expenses of $308.83 million in Q2 2026, down 3.0% from $318.52 million a year earlier and down 0.6% from the prior quarter.
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Analysis
Crawford (CRD-A) Operating Expenses (2009 - 2026) Analysis & Trends
On a TTM basis, Crawford's Operating Expenses came in at $1.26 billion as of Jun 30, 2026, down 3.5% year-over-year; for FY2025, it was $1.27 billion, down 1.8% from FY2024.
- Annual Operating Expenses has a five-year compound annual growth rate of 5.3% (FY2020 to FY2025).
- Across earlier years, Operating Expenses came in at $1.29 billion in FY2024 (+2.3%), $1.26 billion in FY2023 (+2.7%), $1.23 billion in FY2022 (+11.7%) and $1.1 billion in FY2021 (+12.6%).
- The Q2 2026 figure is the lowest quarterly Operating Expenses since Q1 2024.
- On a year-over-year basis, Operating Expenses has declined for four consecutive quarters, with growth averaging 0.5% over the last eight quarters.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 25.5% in Q3 2021, against a decline of 6.4% in Q4 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $310.8 million (Q1 2026), $324.14 million (Q4 2025) and $312.2 million (Q3 2025).
Peer Set
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 | Crawford | 612.47 Mn | 353.82 Mn | 94.99 Mn | 308.83 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 308.83 Mn |
| Mar 31, 2026 | 310.80 Mn |
| Dec 31, 2025 | 324.14 Mn |
| Sep 30, 2025 | 312.20 Mn |
| Jun 30, 2025 | 318.52 Mn |
| Mar 31, 2025 | 311.73 Mn |
| Dec 31, 2024 | 346.29 Mn |
| Sep 30, 2024 | 325.52 Mn |
| Jun 30, 2024 | 311.42 Mn |
| Mar 31, 2024 | 306.72 Mn |
| Dec 31, 2023 | 308.67 Mn |
| Sep 30, 2023 | 321.04 Mn |
| Jun 30, 2023 | 321.89 Mn |
| Mar 31, 2023 | 309.79 Mn |
| Dec 31, 2022 | 316.00 Mn |
| Sep 30, 2022 | 335.42 Mn |
| Jun 30, 2022 | 295.62 Mn |
| Mar 31, 2022 | 280.71 Mn |
| Dec 31, 2021 | 299.78 Mn |
| Sep 30, 2021 | 282.49 Mn |
API Access
Crawford 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=CRD-A&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "CRD-A", "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=CRD-A&period=max&api_key=YOUR_API_KEY");
const data = await res.json();