Where Food Comes From (WFCF) Selling, General & Administrative (2010 - 2026)
Where Food Comes From (WFCF) posted Selling, General & Administrative of $2.02 million for Q2 2026, up 5.6% from $1.91 million a year earlier.
Powered by 
Analysis
Where Food Comes From (WFCF) Selling, General & Administrative (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Selling, General & Administrative at Where Food Comes From was $8.27 million, up 1.1% year-over-year; for FY2025, it was $8.3 million, down 0.6% from FY2024.
- Annual Selling, General & Administrative shows a five-year compound annual growth rate of 2.8% (FY2020 to FY2025).
- In prior years, Where Food Comes From's Selling, General & Administrative was $8.36 million in FY2024 (+6.8%), $7.83 million in FY2023 (+0.1%), $7.82 million in FY2022 (+5.1%) and $7.43 million in FY2021 (+2.7%).
- Quarterly Selling, General & Administrative has run from a low of $1.77 million in Q1 2022 to a high of $2.23 million in Q4 2025 over five years.
- On a year-over-year basis, Selling, General & Administrative increased in three of the last seven quarters, with growth averaging 2.0%.
- The strongest year-over-year quarter for Selling, General & Administrative in the past five years was Q3 2022, with growth of 17.7%; the weakest was Q3 2023, with a decline of 8.8%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 141.87 Bn | 102.28 Bn | 6.13 Bn | 1.15 Bn |
| 2 | Cintas | 78.27 Bn | 77.46 Bn | 1.48 Bn | 792.12 Mn |
| 3 | Iron Mountain | 33.11 Bn | 32.63 Bn | 1.07 Bn | 402.34 Mn |
| 4 | APi | 17.29 Bn | 14.33 Bn | 703.00 Mn | 528.00 Mn |
| 5 | Rollins | 14.72 Bn | 14.27 Bn | 569.95 Mn | 334.98 Mn |
| 6 | Aramark | 14.39 Bn | 12.40 Bn | 430.34 Mn | 78.63 Mn |
| 7 | UL Solutions | 13.43 Bn | 12.22 Bn | 417.00 Mn | 267.00 Mn |
| 8 | Gartner | 12.17 Bn | 5.86 Bn | 1.19 Bn | 764.59 Mn |
| 9 | Rentokil Initial | 10.01 Bn | 3.35 Bn | - | - |
| 10 | Where Food Comes From | 64.44 Mn | 49.86 Mn | 2.68 Mn | 2.02 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.02 Mn |
| Dec 31, 2025 | 2.23 Mn |
| Sep 30, 2025 | 2.11 Mn |
| Jun 30, 2025 | 1.91 Mn |
| Mar 31, 2025 | 2.05 Mn |
| Dec 31, 2024 | 2.05 Mn |
| Sep 30, 2024 | 2.17 Mn |
| Jun 30, 2024 | 2.08 Mn |
| Mar 31, 2024 | 2.07 Mn |
| Dec 31, 2023 | 2.08 Mn |
| Sep 30, 2023 | 1.92 Mn |
| Jun 30, 2023 | 1.83 Mn |
| Mar 31, 2023 | 1.99 Mn |
| Dec 31, 2022 | 2.12 Mn |
| Sep 30, 2022 | 2.11 Mn |
| Jun 30, 2022 | 1.82 Mn |
| Mar 31, 2022 | 1.77 Mn |
| Dec 31, 2021 | 2.14 Mn |
| Sep 30, 2021 | 1.79 Mn |
| Jun 30, 2021 | 1.73 Mn |
API Access
Where Food Comes From 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=WFCF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "ticker": "WFCF", "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=WFCF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();